Jeremy Kepner

Dr. Jeremy Kepner (Supercomputing Center Head & Founder)

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Awards

Best Papers

Dr. Jeremy Kepner is Head and Founder of the MIT Lincoln Laboratory Supercomputing Center (LLSC), and also a Founder of the MIT-Air Force AI Accelerator. Lincoln Laboratory is a 4000-person National Laboratory whose mission is to create defensive technologies to protect our Nation and the freedoms enshrined in the Constitution of the United States. Dr. Kepner is one of five Lincoln Laboratory Fellows, a position that "recognizes the Laboratory's strongest technical talent for outstanding contributions to Laboratory programs over many years." Dr. Kepner is recognized as one of nine MIT Fellows of the Society of Industrial Applied Mathematics (SIAM), for "contributions to interactive parallel computing, matrix-based graph algorithms, green supercomputing, and big data." Additional appointments include the MIT Mathematics Department and MIT Connection Science. Dr. Kepner received a PhD in Astrophysics from Princeton University as a DOE Computational Science Graduate Fellow in 1998 (advisor: Prof. David Spergel) and a BA in Astrophysics from Pomona College in 1991.

Research: Dr. Kepner's research is described in hundreds of peer-reviewed papers covering abstract algebra, AI ethics, astrophysics, big data, computer architecture, cloud computing, cyber security, data mining, databases, graph algorithms, health sciences, image processing, machine learning, matrix theory, network security, neural networks, parallel programming, plasma physics, privacy preserving analytics, signal processing, software standards, supercomputing, and visualization. These publications have received numerous best paper awards and Dr. Kepner received an R&D 100 Award for this research on parallel embedded computing. As a result of this research, the LLSC team holds many records in database performance. In 2013, Dr. Kepner received the MIT Lincoln Laboratory Technical Excellence Award, Lincoln's highest honor "for leadership and vision in bringing supercomputing to Lincoln Laboratory, pivotal role in open systems for embedded computing, creativity in developing a novel database management language and schema, and contributions to the field of graph analytics."

Impact: Dr. Kepner co-invented the Massachusetts Green High Performance Supercomputing Center (MGHPCC), the largest and "greenest" open research data center in the world that has enabled a dramatic increase in MIT's computing capabilities while reducing its CO2 footprint. The LLSC's pioneering interactive supercomputing capability and unique MIT SuperCloud system accelerates the award-winning innovations of thousands of MIT researchers. Under Dr. Kepner's leadership, the LLSC team has been recognized for its outstanding contributions to numerous R&D 100 Award-winning technologies that have improved airline safety, prevented the spread of new diseases, and aided numerous hurricane and earthquake victims. Dr. Kepner is the founding sponsor of the Wilkinson Prize-winning Julia programming language used by millions of programmers world-wide, authored the GraphBLAS standard mathematical specification for analyzing graphs, networks, and sparse matrices; and was the founding sponsor of the development of its Sigma Xi Award-winning SuiteSparse implementation. Dr. Kepner is a founding Co-Chair of the HPC Challenge benchmark suite used in acceptance testing of most of the world's largest supercomputers, and leads the Graph Challenge benchmark used in current Exascale procurements.

Education & Outreach: Dr. Kepner is committed to expanding the understanding and application of supercomputing, big data, and machine learning; co-authoring papers with over 30 undergraduates at MIT and other Universities. Eight of these undergraduate co-authors have recieved NSF Fellowships to pursue their PhDs. Other writings include three best-selling books on Parallel Matlab (SIAM Press, 2009), Graph Algorithms (SIAM Press, 2011), and the Mathematics of Big Data (MIT Press, 2018) -- the only MIT Press book ever co-authored by an undergraduate. Dr. Kepner leads annual week-long courses in special topics for National decision makers in the areas of advanced databases, privacy preserving technologies, machine learning, and modern algorithms. Dr. Kepner's Mathematics of Big Data and Machine Learning MIT OpenCourseWare class has been viewed over 100,000 times. Dr. Kepner is the founder and Co-Chair of the IEEE/SIAM High Performance Extreme Computing (HPEC) conference that has grown into the largest computing conference in New England.

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Awards

[2023 R&D 100 Award] PuckBoard Dr. Kepner's LLSC team was instrumental to PuckBoard datathon.

[2023 R&D 100 Award Finalist] Green Computing Toolbox.

[2021 SIAM Fellow] Fellow of the Society of Industrial Applied Mathematics (SIAM) for "contributions to interactive parallel computing, matrix-based graph algorithms, green supercomputing, and big data."

[2021 MIT Lincoln Laboratory Team Award] Dr. Kepner's team received Lincoln's highest group award for "deployment of the largest AI supercomputer at any University."

[2020 AI Challenge Award] Air Force MIT AI Accelerator Challenge Award for "the design and implementation of community challenge problems enabling optimal aircrew scheduling."

[2019 Top500 Award] MIT Lincoln Laboratory TX-GAIA (Green AI Accelerator) system ranked #42 on the Top500.org list of the worlds's most powerful computers and ranked #4 among US Universities.

[2017 MIT Lincoln Laboratory Team Award] Dr. Kepner's team received Lincoln's highest group award for "deployment of a petascale system."

[2016 Top500 Award] MIT Lincoln Laboratory TX-Green system ranked #107 on the Top500.org list of the worlds's most powerful computers and ranked #3 among US Universities.

[2013 MIT Lincoln Laboratory Technical Excellence Award] - Dr. Kepner received Lincoln's highest honor "for leadership and vision in bringing supercomputing to Lincoln Laboratory; a pivotal role in open systems for embedded computing; creativity in developing a novel database management language and schema; and contributions to the field of graph analytics."

[2013 MIT Lincoln Laboratory Team Award] Dr. Kepner's team received Lincoln's highest group award for "creating a new green supercomputing facility in Holyoke, Massachusetts."

[2013 R&D 100 Award] Structured Knowledge Space (SKS) NoSQL schema was created by Dr. Kepner and the development was made possible by the LLSC database management system.

[2011 R&D 100 Award] Parallel Vector Tile Optimizing Library (PVTOL) was architected by Dr. Kepner.

[2007 MIT Lincoln Laboratory Team Award] Dr. Kepner's team received Lincoln's highest group award for "creating the LLGrid TX-2500 interactive supercomputing system."

[1993 DOE Computational Science Graduate Fellow] to pursue computational research at Princeton University.

Awards Enabled

The MIT Lincoln Laboratory Supercomputing Center (LLSC) team founded and led by Dr. Kepner has developed revolutionary Interactive Supercomputing capabilities that are essential to many award winning innovations:

[2024 R&D 100 Award] Echo Sounder "LLSC systems played an important role in enabling the algorithm development for the Autonomous Sparse-Aperture Multibeam Echo Sounder." - Dr. Andrew March (principal investigator)

[2024 R&D 100 Award] HIPS "LLSC systems played an important role in training regression models from thousands of subjects for the Heat Injury Prevention System (HIPS)." - Dr. Jim Williamson (data analysis lead)

[2024 R&D 100 Award] Megachips "LLSC subject matter expertise was invaluable in identifying and overcoming many of the key challenges addressed by the Extremely Large-Area Integrated Circuits Constructed from Chiplets (Megachips) project." - Brian Tyrrell

[2024 R&D 100 Award] PADWOS "LLSC provided database capabilities that supported the early stages of the Portable Aircraft Derived Weather Observation System (PADWOS)." - Dr. Michael McPartland (principal investigator)

[2024 R&D 100 Award] Mixture Deconvolution "LLSC systems played an important role in evaluating the performance of larger models for the Mixture Deconvolution Pipeline Team to aid Forensic Investigative Genetic Genealogy applications." - Dr. Natalie Damaso (principal investigator)

[2024 R&D 100 Award] FocusNet "LLSC provided extensive capabilities during the development and testing of FocusNet and played a major role in facilitating various aspects the work." - James Kuczynski

[2024 R&D 100 Award] NeuroTrALE "LLSC systems played a large role as they enabled us to work as a team to scale up our algorithms and data visualization into an end-to-end pipeline for the Neuron Tracing and Active Learning Environment (NeuroTrALE)." - Dr. Lars Gjesteby (principal investigator)

[2023 Collier Award Finalist] "Connecting the latest research to the U.S. Air Force X-62A ACE Team project was significantly accelerated using LLSC systems." - Maj. Josh "Voodoo" Rountree

[2022 Best Invention Award] "The Causal Influence Estimation on Social Media Networks to Counter Disinformation project was accelerated using LLSC systems." - Dr. Steven Smith, Dr. Edward Kao, Dr. Danelle Shah, Dr. Olga Simek, and Dr. Donald Rubi

[2022 R&D 100 Award] ACAS sXu "We would have not been able to either tune the Airborne Collision Avoidance System for small uncrewed aircraft (ACAS sXu) logic or execute the analysis to demonstrate the resulting system performance without the LLSC." - Randal Guendel (MIT LL ACAS X Program Lead)

[2022 R&D 100 Award] CONCORD "The LLSC has been extremely helpful for developing the CONstrained COmmunications and Radar Dual-use (CONCORD) technology. LLSC made it easy to port our code and get results with minimal refactoring." - Dr. Ian Weiner (CONCORD principal investigator)

[2022 R&D 100 Award] TROPICS Pathfinder Satellite "The LLSC played a key role in simulating the TROPICS Pathfinder performance and is now helping us generate new geophysical products from Pathfinder observations." - Dr. William Blackwell (TROPICS Pathfinder Satellite principal investigator)

[2021 Excellence in Technology Transfer Award Award] FOVEA "LLSC supercomputers are enabling the development of new deep learning models to enhance the Forensic Video Exploitation and Analysis (FOVEA) tool suite for protecting airports, subway stations, and other transit systems." - Marianne DeAngelus (FOVEA lead developer)

[2021 R&D 100 Award] TFI "The applications developed for the TFI (Traffic Flow Impact) tool were accelerated using LLSC systems." - Michael Matthews (TFI research team member)

[2021 R&D 100 Award] GSWR "The LLSC enabled the access and storage of large weather data sets, and provided the compute power needed to process the data to train the Global Synthetic Weather Radar (GSWR) machine learning application." - Dr. Haig Iskenderian (GSWR research team member)

[2021 R&D 100 Award] AI-GUIDE "The AI models developed for the AI-GUIDE (AI Guided Ultrasound Intervention Device) technology were trained using LLSC systems." - Dr. Laura Brattain (AI-GUIDE research team member)

[2021 R&D 100 Award] MURMUR "The LLSC GPU nodes played an important role in training and testing the deep neural network models used in the Motion Under Rubble Measured Using Radar (MURMUR) project." - Dr. Marc Valliant (MURMUR research team member)

[2020 AI Scientific Excellence Award] Air Force MIT AI Accelerator Scientific Excellence Award for "development of innovative computational processes to accelerate the simulation of nonlinear systems using neural networks."

[2020 AI Distinguished Contribution Award] Air Force MIT AI Accelerator Distinguished Contribution Award for "developing new processes to enhance AIA operations and visibility."

[2020 AI Directors' Award] Air Force MIT AI Directors' Award for "excellence and impact on collaboration across AI."

[2020 IEEE Boston Distinguished Service Award] Dr. Albert Reuther "for extraordinary effort virtualizing HPEC in response to the global pandemic."

[2020 R&D 100 Award] TBIRD "LLSC systems were a key enabling tool for developing TeraByte InfraRed Delivery (TBIRD) optical communications technology." - Dr. Curt Schieler (TBIRD simulation lead)

[2020 R&D 100 Award] LAVA "LLSC systems are a key enabling tool we are using to scale up and evaluate our Large-Scale Automated Vulnerability Addition (LAVA) system." - Andrew Fasano (LAVA lead developer)

[2020 R&D 100 Award] FOVEA "LLSC supercomputers are enabling the development of new deep learning models to enhance the Forensic Video Exploitation and Analysis (FOVEA) tool suite for protecting airports, subway stations, and other transit systems." - Marianne DeAngelus (FOVEA lead developer)

[2020 MIT Reintjes Award] The J. Francis Reintjes Excellence in 6-A Industrial Practice Award was presented to Matthew Hutchinson (MIT Lincoln Laboratory) who demonstrated outstanding performance in 6-A work assignments.

[2019 IEEE Sidney Fernbach Award] Dr. Kepner is the Founding Sponsor of the Julia programming language cited in Prof. Edelman's IEEE Sidney Fernach Award; one of the IEEE Computer Society's highest awards "recognizing outstanding contributions in the application of high-performance computers using innovative approaches."

[2019 AIAA Digital Avionics Award] for development of the Airborne Collision Avoidance System X (ACAS X) "LLSC systems were a key tool for all of our ACAS X development efforts." - Dr. Wesley Olson (ACAS X Lead)

[AFCEA 40 under 40 award] Armed Forces Communications and Electronics Association recognizes Mark Veillette for the application of AI and machine learning in weather sensing and forecasting (MIT News - 2019 June 19)

[2019 Wilkinson Prize] Dr. Kepner is the Founding Sponsor of the Wilkinson Prize winning Julia programming language used by millions of programmers. The J. H. Wilkinson Prize for Numerical Software is awarded every four years to honor "outstanding contributions in the field of numerical software."

[2018 R&D 100 Award] FastID and TachysSTR "LLSC supercomputers with embedded graphical processing units (GPUs) were essential for development and testing of a GPU-enabled version of FastID for high throughput data analysis of 100,000 samples against 20 million reference profiles." - Dr. Darrell Ricke (Principal Investigator)

[2018 Sigma Xi Innovation Award] Dr. Kepner authored the GraphBLAS standard mathematical specification and was the founding sponsor of the development of its Sigma Xi Award winning SuiteSparse implementation

[2017 R&D 100 Award] PRESymptomatic AGent Exposure Detection (PRESAGED) algorithms were developed by LLSC team member Lauren Milechin.

[2017 R&D 100 Finalist] BigDAWG Polystore System was created by LLSC team member Dr. Vijay Gadepally.

[2017 AFCEA 40 under 40 Award] received by LLSC team member Dr. Vijay Gadepally.

[2016 R&D 100 Award] Offshore Precipitation Capability "Beyond providing resources to store data we used to create our models, the parallelism and GPUs provided by LLSC was critical for preprocessing vast amounts of data and training deep neural network models." - Dr. Mark Veillette (Principal Investigator)

[2016 R&D 100 Award] Airborne Collision Avoidance System for Unmanned Aircraft (ACAS Xu) was made possible by years of simulations using parallel Matlab (developed by Dr. Kepner) running on thousands of LLSC processors.

[2016 Excellence Award for Sustaining MIT] received by LLSC team member Matt Hubbell for leading "the development of the pioneering Lincoln Holyoke Supercomputing site since 2011."

[2016 Lincoln Laboratory Early Career Technical Achievement Award] received by LLSC team member Dr. Vijay Gadepally for "creativity in advancing high-performance computing at Lincoln Laboratory".

[2011 R&D 100 Award] Airborne Ladar Imaging Research Testbed (ALIRT) portable ground station cluster was designed by LLSC team member Dr. Albert Reuther.

[2007 TeraSort Champion] Sorting benchmark world record was set by Dr. Bradley Kuszmaul using the TX-2500 interactive supercomputer developed by Dr. Kepner's team.

Paper Awards

[2024 Outstanding Paper Award - Top 5%] for Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring
[2024 Outstanding Short Paper Award - Top 5%] for Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS
[2023 Best Paper Award (2nd place) - Top 2%] for From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data
[2023 Outstanding Paper Award - Top 5%] for Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays
[2023 Outstanding Short Paper Award - Top 5%] for Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU
[2022 Outstanding Paper Award - Top 5%] for GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic
[2020 Outstanding Paper Award - Top 5%] for Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid
[2019 Best Paper Award - Top 1%] for Training Behavior of Sparse Neural Network Topologies
[2018 Best Paper Award Finalist - Top 5%] for Measuring the Impact of Spectre and Meltdown
[2016 Best Paper Award - Top 1%] for Julia Implementation of the Dynamic Distributed Dimensional Data Model
[2016 Outstanding Student Paper Award - Top 5%] for From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database
[2016 Best Paper Award Finalist - Top 5%] for Benchmarking SciDB Data Import on HPC Systems
[2015 Best Student Paper Award Finalist - Top 5%] for Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database
[2015 Best Student Paper Award Finalist - Top 5%] for Improving Big Data Visual Analytics with Interactive Virtual Reality
[2014 Best Paper Award - Top 1%] for Genetic Sequence Matching Using D4M Big Data Approaches
[2010 Best Paper Award - Top 1%] for 3-D Graph Processor
[2008 Best Paper Finalist - Top 5%] for Language, Dialect, and Speaker Recognition Using Gaussian Mixture Models on the Cell Processor
[2006 Best Paper Finalist - Top 5%] for Exploring the Cell with HPEC Challenge Benchmarks
[2005 Best Paper Finalist - Top 5%] for pMapper: Automatic Mapping of Parallel MATLAB Programs

As co-chair of the IEEE/SIAM HPEC conference, to avoid the appearance of a conflict of interest, Dr. Kepner removes his lead author papers from HPEC award consideration. For conflict of interest documentation purposes, the papers that would have otherwise been selected by the review committee for awards are listed here:

[2024 - Top 5%] What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic
[2023 - Top 5%] Lincoln AI Computing Survey (LAICS)
[2020 - Top 5%] Fast Mapping onto Census Blocks
[2019 - Top 5%] Hypersparse Neural Network Analysis of Large-Scale Internet Traffic
[2018 - Top 5%] TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
[2014 - Top 5%] Computing on Masked Data: a High Performance Method for Improving Big Data Veracity
[2010 - Top 5%] Persistent Surveillance Supercomputing in a Can
[2008 - Top 5%] Theory of Multicore Algorithms
[2004 - Top 5%] Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster
[2003 - Top 5%] HPCS Application Analysis and Assessment
[2002 - Top 5%] 300x Matlab
[2001 - Top 5%] Parallel Programing with MatlabMPI

News

Helping robots practice skills independently to adapt to unfamiliar environments (MIT News - 2024 August 8)
New open-source tool helps to detangle the brain (MIT Lincoln Lab News - 2024 July 22)
Exploring the mysterious alphabet of sperm whales (MIT News - 2024 May 7)
William Green named director of MIT Energy Initiative (MIT News - 2024 May 6)
Accelerating Into the Future: DAF-MIT AI Accelerator Extends for Another Five Years (AI Accelerator - 2024 May 13)
DAF AI Accelerator’s Fundamental Research Provides Breakthrough for Aircrew Readiness (AI Accelerator - 2024 April 30)
An AI dataset carves new paths to tornado detection (MIT Lincoln Lab News - 2024 April 16)
Accelerating Fielding of Artificial Intelligence Programs with the DAF-MIT AI Accelerator (MIT Lincoln Lab Bulletin - 2024 March 29)
Using Deep Learning to Image the Earth’s Planetary Boundary Layer (MIT News - 2024 April 18)
Meet DBOS: A Database Alternative to Kubernetes (The New Stack - 2024 March 12)
PostgreSQL and Databricks founders join forces for DBOS to create a new type of operating system (Venture Beat - 2024 March 12)
The cloud outgrows Linux, and sparks a new operating system (The Next Platform - 2024 March 12)
Lincoln Laboratory kicks off collaboration with Air University, Air Command and Staff College (MIT Lincoln Lab News - 2024 March 6)
High-Performance Computing Security | NIST Releases SP 800-223 (National Institute of Standards and Technology - 2024 February 8)
To green AI, scientists are making it less resource-hungry (Science News Explores - 2024 February 8)
Center for a New American Security select emerging national security leaders (CNAS - 2024 February 5)
Crunching Numbers, Sustainably (The American Society of Mechanical Engineers - 2024 February 1)
RAAINS workshop considers the future of artificial intelligence (MIT Lincoln Lab News - 2024 January 29)
Data centres improved greatly in energy efficiency as they grew massively larger (The Economist - 2024 January 29)
Researchers release open-source space debris model (MIT News - 2024 January 10)
AIs carbon footprint is bigger than you think (MIT Technology Review - 2023 December 5)
AI accelerates problem-solving in complex scenarios (MIT News - 2023 December 5)
Making an image with generative AI uses as much energy as charging your phone (MIT Technology Review - 2023 December 1)
AI trains a new class of flexible neural networks to fly the USAF X-62 VISTA test aircraft, (DAF-MIT AI Accelerator - 2023 December 4)
Non-Technical Phantoms Excel at the DAF-MIT AI Accelerator (DAF-MIT AI Accelerator - 2023 November 27)
Sequence Evaluation in Real Time (MIT Lincoln Lab Bulletin - 2023 November 17)
DoD CDAO Launches Access to Digital On-Demand Learning Platform (Defense.gov - 2023 November 16)
Combining Neural Networks and Histogram Layers for Underwater Target Classification (MIT Lincoln Lab News - 2023 November 14)
Study explores the scaling of deep learning models for chemistry research (Tech Xplore - 2023 November 11)
Using Machine Learning to Trace Genetically Engineered DNA (MIT Lincoln Lab Bulletin - 2023 November 4)
Sequence Evaluation in Real Time (MIT Lincoln Lab Bulletin - 2023 November 3)
Perspectives on Research Software Careers (HPC Wire - 2023 October 26)
How the United States Air Force Accelerated AI Adoption (Harvard Business Review podcast - 2023 October 24)
The Soviet Atomic Threat, Oppenheimer, and the Need for National Air Defense (MIT Lincoln Lab Bulletin - 2023 October 20)
MIT Is Developing an AI Co-Pilot for Aircraft Called Air-Guardian (Tech Times - 2023 October 11)
New tools are available to help reduce the energy that AI models devour (MIT News - 2023 October 5)
Ancient Amazonians Intentionally Created Fertile “Dark Earth” (MIT News - 2023 September 20)
DAF-MIT AI Accelerator research projects featured at IEEE HPEC conference (DAF-MIT AI Accelerator - 2023 September 13)
Lincoln Laboratory technologies win five R&D World awards (MIT Lincoln Lab News - 2023 September 7)
What Would You Do With A 16.8 Million Core Graph Processing Beast? (The Next Platform - 2023 September 1)
Developing Artificial Intelligence for Noncooperative Space Operations Using Kerbal Space Program (MIT Lincoln Lab Bulletin - 2023 September 1)
Newly discovered planet has longest orbit yet detected by the TESS mission (MIT News - 2023 August 30)
Einblick Launches Deep AI Integration, Empowering Users to Go from Prompts to Multimodal Data Workflows (Datanami - 2023 July 24)
ACAS X Provides Next-Generation Collision Avoidance (MIT Lincoln Lab Bulletin - 2023 June 30)
MagNav Project Successfully Demonstrates Real-Time Magnetic Navigation (DAF-MIT AI Accelerator - 2023 May 26)
A Future of Unmanned Aerial Vehicles (MIT Lincoln Lab Bulletin - 2023 May 26)
MIT and Stanford researchers develop operating system with one major promise: Resisting ransomware (Cyberscoop - 2023 April 21)
TESS celebrates its fifth “launchiversary” (MIT Lincoln Lab News - 2023 April 20)
Drones navigate unseen environments with liquid neural networks (MIT CSAIL News - 2023 April 19)
Laboratory Study Compares Machine Learning Accelerator Technologies (MIT Lincoln Lab Bulletin - 2023 March 31)
Award-winning technology prevents aircraft collisions (MIT Lincoln Lab News - 2023 March 2)
Phiala Shanahan is seeking fundamental answers about our physical world (MIT News - 2023 February 28)
National Program Provides Real Cybersecurity Experience (University of Arizona - 2023 February 3)
Roadmap for Uncertainty: Implementing Modernization and Operationalizing Change (DAF-MIT AI Accelerator - 2023 January 27)
Two Lincoln Laboratory software products honored with national Excellence in Technology Transfer Awards (MIT News - 2023 January 26)
Top HPC Players Creating New Security Architecture (MIT News - 2023 January 20)
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI (DAF-MIT AI Accelerator - 2023 January 18)
Phantom Fellowship Program Culminates in BAH Optimization Project (DAF-MIT AI Accelerator - 2023 January 18)
Program teaches US Air Force personnel the fundamentals of AI (MIT News - 2023 January 11)
Parallel Thermal Analysis on LLSC (MIT Lincoln Lab Bulletin - 2022 December 9)
Multimodal Vision for 3D Scene Interpretation (MIT Lincoln Lab Bulletin - 2022 December 2)
Acquiring Machine-Readable Data (DAF-MIT AI Accelerator - 2022 November 29)
Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions (MIT Lincoln Lab Bulletin - 2022 October 21)
DAF-MIT AI Accelerator recognizes New York Guardsmen as a key stakeholder in bringing AI capabilities to the fight (DAF-MIT AI Accelerator - 2022 October 11)
GraphBLAS and GraphChallenge Advance Network Frontiers (SIAM News - 2022 October 3)
Six Lincoln Laboratory inventions win 2022 R&D 100 Awards (MIT News - 2022 September 21)
A web of partnerships: Ukraine, operational collaboration, and effective national defense in cyberspace (Atlantic Council - 2022 August 30)
Intelligent Tornado Prediction Engine (MIT Lincoln Lab Bulletin - 2022 September 9)
Taking a magnifying glass to data center operations (MIT News - 2022 August 24)
Award-winning technology helps manage flight delays through severe weather (MIT Lincoln Lab News - 2022 August 18)
Green Instrumentation and Experimentation   (MIT Lincoln Lab - 2022 July 29)
Neil Thompson on computing power and innovation (MIT News - 2022 June 24)
Security leaders learn AI fundamentals through MIT professional program (Hanscom Air Force Base News - 2022 May 20)
AI accelerator focuses on education (Air Force Material Command News - 2022 April 28)
Phantom fellowship makes AI real for Airmen and Guardians (Hanscom Air Force Base News - 2022 April 15)
Generating new molecules with graph grammar (MIT News - 2022 April 1)
Laboratory Technology Helps Manage Flight Delays Through Severe Weather (MIT Lincoln Lab Bulletin - 2022 March 11)
Two Laboratory Teams Receive 2020 AI Accelerator Awards (MIT Lincoln Lab Bulletin - 2022 January 21)
TESS Science Office at MIT hits milestone of 5,000 exoplanet candidates (MIT News - 2022 January 20)
MIT Lincoln Laboratory receives two 2020 AI Accelerator Awards (MIT Lincoln Lab News - 2022 January 18)
Lincoln Laboratory Supercomputing Center 5th Anniversary Book (MIT Lincoln Lab News - 2022 January 04)
Laboratory Workshops Highlight Use of Artificial Intelligence in National Security (MIT Lincoln Lab Bulletin - 2021 December 10)
Technology Office Announces Winners of the FoolMe Hackathon (MIT Lincoln Lab Bulletin - 2021 December 3)
MIT Lincoln Laboratory wins nine R&D 100 Awards for 2021 (MIT News - 2021 November 17)
MIT Researchers Turn to Unity 3D Game Engine for Supercomputer Diagnostics (MIT Lincoln Lab Bulletin - 2021 October 29)
Taylor Perron receives 2021 MacArthur Fellowship (MIT News - 2021 September 28)
Researchers Turn to Unity 3D Game Engine for Supercomputer Diagnostics (Tom's Hardware - 2021 September 21)
Lincoln Laboratory honored for transfer of security-enhancing technologies (MIT Lincoln Lab News - 2021 September 7)
C-17 good platform for MagNav development (445th Airlift Wing - 2021 August 19)
US Deputy Secretary of Defense Dr. Kathleen Hicks visits USAF-MIT AI Accelerator (MIT CSAIL News - 2021 July 19)
Air Force pilots get an AI-assist with scheduling aircrews (MIT Lincoln Lab News - 2021 June 17)
Supercomputing Center Celebrates Fifth Anniversary (MIT Lincoln Lab News - 2021 June 14)
Jeremy Kepner named SIAM Fellow (MIT News - 2021 May 21; MIT Lincoln Lab News - 2021 April 28)
Long history; new horizons (MIT Lincoln Lab News - 2021 May 5)
Air Force Chief Data Office announces first Datathon (MIT News - 2020 July 9)
MIT joins White House supercomputing effort to speed up search for Covid-19 solutions (MIT News - 2020 March 23)
Brainstorming energy-saving hacks on Satori, MIT's new supercomputer (MIT News - 2020 February 11)
Supercomputer analyzes web traffic across entire internet (MIT News - 2019 October 28)
Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university (MIT News - 2019 September 27; MIT Lincoln Lab News - 2019 September 26)
MIT Lincoln Lab Welcomes Green AI Supercomputer: TX-GAIA (HPC Wire - 2019 September 26)
HPE Deploys TX-GAIA Supercomputer at MIT Lincoln Laboratory (InsideHPC - 2019 September 27)
MIT Lincoln Laboratory Supercomputing Center Installs World's Fastest Supercomputer at a University, powered by NVIDIA V100 GPUs (Nvidia - 2019 September 26)
Beaver Works Summer Institute concludes its fourth year relies on the LLSC online education platform to deliver innovative curricula to over 1,000 high school students each summmer (MIT News - 2019 August 12)
Record-breaking DNA comparisons drive fast forensics (MIT News - 2019 June 26)
MIT and U.S. Air Force sign agreement to launch AI Accelerator (MIT News - 2019 May 20)
Wilkinson Prize goes to developers of flexible Julia programming language (MIT Lincoln Lab News - 2019 March 12)
MIT Lincoln Lab Offers Advice for Delivering On-Demand HPC (HPC Wire - 2019 March 11)
Supercomputers can spot cyber threats (MIT News - 2019 February 26; MIT Lincoln Lab News - 2019 February 19)
Lidar accelerates hurricane recovery in the Carolinas (MIT News - 2018 December 21)
Mapping the brain, cell by cell (MIT News - 2018 December 17)
Using lidar to assess destruction in Puerto Rico (MIT News - 2018 August 30)
MIT-created programming language Julia 1.0 debuts (MIT News - 2018 August 27)
MIT Lincoln metalheads broke big iron so you don't have to (The Register - 2018 July 26 )
New textbook applies mathematics to the management of big data (MIT Lincoln Lab News - 2018 July 23)
Learning Machines (DEIXIS Magazine - 2017 July)
A Look at the Lincoln Laboratory Supercomputing Center (InsideHPC - 2017 January 21)
MIT Lincoln Laboratory Takes the Mystery Out of Supercomputing (InsideHPC - 2017 January 18)
Capitalizing on machine learning: from life sciences to financial services (HPC Wire - 2016 December 26)
Lincoln Laboratory's supercomputing system ranked most powerful in New England (MIT News - 2016 December 2; MIT Lincoln Lab News - 2016 November 16)
Lincoln Laboratory Supercomputing Center Established (HPC Wire - 2016 May 18)
Lincoln Laboratory establishes a supercomputing center (MIT News - 2016 May 11; MIT Lincoln Lab News - 2016 May 11)
Technology confronts disasters (MIT News - 2016 October 20)
How 3-D Printing is Revolutionizing the Display of Big Data (MIT Technology Review - 2014 October 8)
Green computing is super (MIT News - 2013 July 18; MIT Lincoln Lab News - 2013 July 18)
The real Tron: IT security as a shoot 'em up (New Scientist - 2012 Oct 4)
Lincoln Laboratory helps celebrate the official unveiling of the Space Surveillance Telescope (MIT News - 2012 January 20)
MIT Lincoln Laboratory researchers provide support to the U.S. Haiti relief effort (MIT News - 2010 May 17)
Green supercomputing, economic development, and the DoD (InsideHPC - 2009 July 6)
Collaboration eyes computing boost for New England (MIT News - 2009 June 11)
Lincoln Labs: largest single problem ever run (InsideHPC - 2008 August 22)
The New HPC (HPCwire - 2007 January 19)
DARPA Selects Cray and IBM for Final Phase of HPCS (HPCwire - 2007 November 24)
DARPA, HPCwire Announce HPC Challenge (HPCwire - 2005 September 9)
HPC Challenge Competition Announced (HPCwire - 2005 June 2)

Service

Co-Chair (2024 - present) IEEE/SIAM High Performance Extreme Computing (HPEC) conference
Lead (2016 - present) Amazon, MIT, IEEE Graph Challenge
Chair (2012 - 2023) IEEE/SIAM High Performance Extreme Computing (HPEC) conference
Program Chair (1999 - 2011) MIT Lincoln Laboratory High Performance Embedded Computing (HPEC) workshop
Co-Founder and steering committee member (2005 - present) HPC Challenge Benchmark Suite
Founding Sponsor (2012 - present) Julia Programming Language
Co-Founder and steering committee member (2013 - present) GraphBLAS standard
Founder and co-organizer (2012 - present) MIT SIAM Section
Founder and co-organizer (2005 - present) Computational Research in Boston (CRiB) seminar
Co-Lead (2013 - present) MIT Center for Engaging Supercomputing
Steering Committee (2018 - present) IEEE IPDPS Graphs, Architectures, Programming, and Learning (GrAPL)
Steering Committee (2013-2018) IEEE IPDPS Graph Algorithm Building Blocks (GABB)
Co-Chair (2017) IEEE Big Data
Chair (2015 - 2017) SIAM Data Science Activity Group
Vice-Chair (2013 - 2015) SIAM Data Science Activity Group
Co-Inventor (2013) MIT SuperCloud
U.S. Government Team Lead (2001 - 2008)DoD High Performance Embedded Computing Software Initiative (HPEC-SI)
U.S. Government Team Lead (2003 - 2006) DARPA High Productivity Computing Systems (HPCS) program
Co-Inventor HPEC Challenge Benchmark Suite
Co-Inventor PVTOL: Parallel Vector Tile Optimizing Library winner 2011 R&D 100 Award
Co-Editor International Journal of High Performance Computing Applications special issue on High Level Programming Languages and Models, Volume 21 Issue 3, August 2007
Co-Inventor Graph500 Benchmark
Editor Cyberinfrastructure Technology Watch special issue on High Productivity Computing Systems and the Path Towards Usable Petascale Computing, Volume 2, Number 4A, November 2006
Editor Cyberinfrastructure Technology Watch special issue on High Productivity Computing Systems and the Path Towards Usable Petascale Computing, Volume 2, Number 4b, November 2006
Co-Inventor (2005) Massachusetts Green High Performance Computing Center (Original 2005 Study) (Construction Video)
Editor International Journal of High Performance Computing Applications special isssue on HPC Productivity, Volume 18, Number 4, Winter 2004 (November)
Employee #1 (1987) The Collaborative

Software & Patents

Julia Language

Graph Challenge

D4M (Dynamic Distributed Dimensional Data Model or "Databases for Matlab/Octave, Julia, Python")

Multidimensional Associative Array Database (US Patent 8,631,031)

Graphulo (Graph Library for the Apache Accumulo Database)

pMatlab (Parallel Matlab Software)

Extreme Virtual Memory (US Patent 9,852,079)

AuthenticSearch

Math Map

Video

GenAI: Now is the Time to Ask (MIT Imagination in Action 2024)

Improv Math: Big Data & ML (MIT 18.095 2024)

Interview with Jeremy Kepner on the IEEE HPEC Conference (IEEE Forums of the Future 2023)

Sparsity: Practice-to-Theory-to-Practice (MIT Alan Edelman 60th 2023)

Motivating Matrix Multiplication Visually with Networks (MIT IAP 2023)

Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis (ACM SPAA 2022 Keynote Talk)

Beyond Zero Botnets: Web3 Enabled Observe-Pursue-Counter Approach (TEDx Boston Studio MIT Imagination in Action - June 2022)

AI Data Architecture (Georgetown University invited talk 2022)

Statistical Cyber Characterization - Tutorial (IEEE HPEC 2022)

Statistical Cyber Characterization - Demo[Spanish] (IEEE HPEC 2022)

HPC Server 3D Representation (IEEE HPEC 2021)

Navigating Digital Hyperspace (IEEE IPDPS 2021)

Mathematics of Big Data and Machine Learning (MIT Open Course Ware - 150K+ views)

MIT Lincoln Laboratory Computing Timeline

MIT Lincoln Laboratory Supercomputing Center

Supplementary Emergency Response Visualization Endeavor

Mathematical Foundations of the GraphBLAS (SIAM 2020 Mathematics of Data Science)

Mathematics of Big Data (MIT Press Bookstore)

Lincoln Laboratory Supercomputing Center (SC2016-SC2019)

Building the MGHPCC (2012)

Perfect Power Law (SIAM 2012 Annual Meeting)

Parallel Matlab: The Next Generation (HPEC 2003)

Students I have been fortunate to work with

Simon Alford (MIT Math & CS 2020; PhD student Cornell Univ)

Dr. Jeff Bezanson (PhD MIT CSAIL 2015; Julia Founder)

Dr. Cy Chan (PhD MIT EECS 2012; Research Scientist Lawrence Berkeley Lab)

Prof. Julian Chaidez (PhD UC Berkeley Math 2021; NSF, UC Chancellor, and Rose Hills Fellow; NSF Princeton Fellow; Prof USC Math Dept)

Alex Chen (MS MIT EECS 2017; Senior Software Engineer Google)

Dr. Ashley Conard (PhD Brown Univ Comp Bio 2022; Fullbright; NSF Fellow; Microsoft Research)

Karia Dibert (MIT Math 2018; PhD student Univ of Chicago)

Prof. Stephanie Dodson (PhD Brown Univ Applied Math 2019; NSF Fellow; Assist Prof Colby College)

Alexander Dean (MS RIT CS 2014; Software Engineer Amazon)

Prof. Jeremy Fineman (PhD MIT EECS 2010; Distinguished Assoc Prof Georgetown; CS Dept Chair)

Emma Fu (MIT EECS 2026)

Dominic Garrity (Harvard 2022; Microsoft)

Dr. Brendan Gavin (PhD UMass EECS 2018; AI Scientist CareX)

Dr. James Geraci (PhD MIT EECS 2010; Principal Engineer Samsung)

Katherine Gravel (MIT Math 2021; NSF Fellow; PhD student Univ of Chicago)

Jasper Haag (MIT EECS 2020; BedRock Systems)

Dr. Braden Hancock (NSF & NDSEG Fellow; PhD Stanford CS 2019; Co-Founder SnorkelAI)

Jennifer Heffernan (MS Stevens Institute CS 2015; Data Scientist Sensor Tower)

Jonathan Herrera (MIT EECS 2021)

Chris Howard (MIT Sloan 2026)

Prof. Hank Hoffmann (Lincoln Scholar; PhD MIT EECS 2012; Prof Univ of Chicago; CS Dept Chair)

Matthew Hutchinson (MS MIT EECS 2020; US Space Force)

Shana Hutchison (MS Stevens Institute CS 2015; NSF Fellow; Software Engineer Blue Origin)

Dr. Hayden Jananthan (PhD Vanderbilt Math 2021; Hamilton Scholar; Mathematician MIT Lincoln Lab)

Hana Kim (CalTech Math 2019; Stanford graduate student)

Kevin Kwak (MIT CS 2026)

Justin Li (MIT MechE 2023)

Ashley Luo (MIT EECS 2023)

Matt Marzilli (MS UMass 2009; Engineering Manager Google)

Dr. Andrew Mastin (PhD MIT EECS 2015; Research Scientist Lawrence Livermore)

Andrew Moran (MS MIT EECS 2016; Software Engineer Microsoft)

Kevin Min (MIT Math & CS 2026)

Peter Mizes (MIT Math 2020; Software Engineer Facebook)

Michael Mizell (Harvard Physics 2023; US Air Force)

Huy Nguyen (MS MIT EECS 2011)

Rany Polany (MS MIT Sloan 2016; DropBox)

Ryan Robinett (MIT Math 2020; NSF Fellow; PhD student Univ of Chicago)

Dr. Eric Robinson (PhD Northeastern CS 2008; Software Engineer Google)

Darbin Reyes (MS Cornell EECS 2012; Engineer Intel Corp)

Kaira Samuel (MIT MechE 2023)

Morgan Schaefer (MIT AeroAstro 2024)

Dr. Connor Sell (PhD Rice University Math 2023; Post-Doc UQAM)

Dylan Sequeira (MIT MechE 2023)

Skylar Sutherland (MIT Brain & Cog 2019; PhD student Yale)

Jessica Titensky (MIT Math 2020; Financial Trader Five Rings)

Dr. Crystal Valentine (NSF Fellow; PhD Brown Univ CS 2010; Partner Cross Creek)

Richard Wang (MIT EECS 2026)

Prof. Adam Weirman (NSF Fellow; PhD CMU CS 2007; Prof. CalTech)

Zack West (MIT EECS 2026)

Rebecca Wild (JMU Math/CS 2019; Software Engineer JHU APL)

Ziqi Zhou (MIT Math)

Publications & Presentations

Google Scholar Citation Pages: Jeremy Kepner, LLSC, AI Accelerator

Supercomputing, Big Data & Cyber	AI, Math & Science
Integrating Python-GraphBLAS into D4M.py, Daniel Quach, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2024 Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring [Outstanding Paper Award], Bill Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup, Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS [Outstanding Short Paper Award], Michael Houle, Michael Jones, Dan Wallmeyer, Risa Brodeur, Justin Burr, Hayden Jananthan, Sam Merrell, Peter Michaleas, Anthony Perez, Andrew Prout, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 LLload: An Easy-to-Use HPC Utilization Tool, Chansup Byun, Albert Reuther, Julie Mullen, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alexander Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 GPU Sharing with Triples Mode, Chansup Byun, Albert Reuther, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alexander Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 Anonymized Network Sensing Graph Challenge, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluc, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic, Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluc, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024 LLload: Simplifying Real-Time Job Monitoring for HPC Users, Chansup Byun, Julia Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin, ACM PEARC, July 2024 Teaching Network Traffic Matrices in an Interactive Game Environment, Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland, IEEE IPDPS GrAPL Workshop, May 2024 Passive Network Sensor Placement, Justin Burr, Kathleen Moriarty, James Globe, Jeremy Kepner, Michael Jones, Sandeep Pisharody, Security Best Practices, Center for Internet Security, Dec 2023 Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hyperspace Matrices, Jeremy Kepner, Michael S Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations, Hayden R Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays [Outstanding Paper Award], Michael S Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 pPython Performance Study, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU [Outstanding Short Paper Award], William Bergeron, Michael Jones, Chase Barber, Kale DeYoung, George Amaiucai, Kaleb Ernst, Nathan Fleming, Peter Michaleas, Sandeep Pisharody, Nathan Wells, Antonio Rosa, Eugene Vasserman, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework, Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan Weckwerth, Brian Xia, Peter Bailis, Michael Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia, Aug 2023 Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic, Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary, Hayden Jananthan, Aydin Buluc, Tim Davis, Daniel Grant, Michael Jones, Chad Meiners, Andrew Morris, Sandeep Pisharody, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 GraphBLAS on the Edge: High Performance Streaming of Network Traffic [Outstanding Paper Award], Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluc, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 Hypersparse Network Flow Analysis of Packets with GraphBLAS, Tyler Trigg, Chad Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 Python Implementation of the Dynamic Distributed Dimensional Data Model, Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michale Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 pPython for Parallel Python Programming, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 Beyond Zero Botnets: Web3 Enabled Observe-Pursue-Counter Approach, Jeremy Kepner, TEDx Boston Studio MIT Imagination in Action, Jun 2022 The MIT SuperCloud Workload Classification Challenge, Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi, IEEE IPDPS ADOPT Workshop, May 2022 Temporal Correlation of Internet Observatories and Outposts, Jeremy Kepner, Michael Jones, Daniel Andersen, Aydõn Bulu, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas, IEEE IPDPS GrAPL Workshop, May 2022 AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications, Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari, in IEEE International Symposium on High-Performance Computer Architecture (HPCA), Apr 2022 New Phenomena in Large-Scale Internet Traffic, Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022 Introduction to GraphBLAS, Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluc, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Jose Moreira, John D Owens, Carl Yang, Marcin Zalewski, Timothy G Mattson, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022 Graphulo: Linear Algebra Graph Kernels, Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A Miller, Andrew Prout, Siddharth Samsi, Chuck Yee, Vijay Gadepally, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022 DBOS: a DBMS-oriented operating system, Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia, Proceedings of the VLDB Endowment, Jan 2022 Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets, Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluc, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Realizing Forward Defense in the Cyber Domain, Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad Meiners, Peter Michaleas, Adam Tse, Doug Stetson, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 3D Real-Time Supercomputer Monitoring, Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup, Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Improved Compression for Word Embeddings by Scaling Principal Components, Joseph P McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Supercomputing Enabled Deployable Analytics for Disaster Response, Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices [Top 5%], Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddarth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 The MIT Supercloud Dataset, Siddharth Samsi, Matthew L Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Zero Botnets: An Observe-Pursue-Counter Approach, Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce Maggs, Peter Michaleas, Chad Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takhashi, Tony Tauber, Leah Walker, Douglas Stetson, Belfer Center Reports, Harvard University, Jun 2021 Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid [Outstanding Paper Award], Andrew C Kirby, Siddharth Samsi, Michael S Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Fast Mapping onto Census Blocks [Top 5%], Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, and Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets, Jeremy Kepner, Chad Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Micheal Jones, Andrew Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Best of Both Worlds: High Performance Interactive and Batch Launching, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Benchmarking Network Fabrics for Data Distributed Training of Deep Neural Networks, Siddharth Samsi, Andrew Prout, Michael S Jones, Andrew C Kirby, Bill Arcand, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Accuracy and Performance Comparison of Video Action Recognition Approaches, Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Micheal Jones, Jeremy Kepner, Andrew Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Survey of Machine Learning Accelerators, Albert Reuther, Jeremy Kepner, Vijay Gadepally, Siddharth Samsi, Michael S Jones, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 GraphChallenge.org Sparse Deep Neural Network Performance, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 GraphChallenge.org Triangle Counting Performance, Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Albert Reuther, Steven Smith, William Song, Diane Staheli, Paul Monticciolo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 A Polystore Based Database Operating System (DBOS), Michael Cafarella, David DeWitt, Vijay Gadepally, Jeremy Kepner, Christoforos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia, VLDB Poly20, Aug 2020 75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices, Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE IPDPS GrAPL workshop, May 2020 Developing a Working Data Hub, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi, Lincoln Laboratory Technical Report, Mar 2020 AI Data Wrangling with Associative Arrays, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi, Northeast Database Day, Jan 2020, Cambridge, MA Training Behavior of Sparse Neural Network Topologies [Best Paper Award], Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Optimizing the Visualization Pipeline of a 3D Monitoring and Management System, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Sparse Deep Neural Network Graph Challenge, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Large Scale Parallelization Using File-Based Communications, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Survey and Benchmarking of Machine Learning Accelerators, Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Securing HPC using Federated Authentication, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M, Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Optimizing Xeon Phi for Interactive Data Analysis, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA Hypersparse Neural Network Analysis of Large-Scale Internet Traffic [Top 5%], Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Peter Michaleas, Lauren Milechin, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA AI Innovation Accelerator Request for Ideas: Responses Release 1.0a (Aug 7, 2019), Daniela Rus, Charles E. Leiserson, Robert Bond, Jeremy Kepner (editors), 550 Pages AI Enabling Technologies: A Survey, Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez, May 2019 RedisGraph GraphBLAS Enabled Graph Database, Pieter Cailliau, Timothy A Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine, IEEE IPDPS GrAPL workshop, May 2019, Rio de Janeiro, Brazil A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases, Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand , David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Northeast Database Day, Jan 2019, Cambridge, MA TabulaROSA: Tabular Operating System Architecture, Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin Pedretti, Albert Reuther, Thomas Sterling, Mike Stonebraker, Northeast Database Day, Jan 2019, Cambridge, MA RedisGraph GraphBLAS Enabled Graph Database, Pieter Cailliau, Timothy A Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine, Northeast Database Day, Jan 2019, Cambridge, MA Scaling Big Data Platform for Big Data Pipeline, Rebecca L Wild, Matthew Hubbell, Jeremy Kepner, Northeast Database Day, Jan 2019, Cambridge, MA Interacting with Accumulo and Graphulo using Julia/Python D4M, Lauren Milechin, Hayden Jananthan, Vijay Gadepally, Jeremy Kepner, Apache Accumulo Summit, Oct 2018 Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis, Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines [Top 5%], Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin Pedretti, Albert Reuther, Thomas Sterling, Mike Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud, Vijay Gadepally, Lauren Milechin, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Measuring the impact of Spectre and Meltdown [Best Paper Award Finalist], Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer, Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Database Operations in D4M.jl, Lauren Milechin, Vijay Gadepally, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers, Julia Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, ISC Workshop on Interactive High Performance Computing (WIHPC), Jun 2018, Frankfurt, Germany Enabling Graph Analytics with Graphulo, Lauren Milechin, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, Northeast Database Day, Jan 2018, Cambridge, MA Hyperscaling Network Analysis with D4M on the MIT SuperCloud, Vijay Gadepally, Jeremy Kepner, Lauren Milechin, Koichi Suzuki, Northeast Database Day, Jan 2018, Cambridge, MA Scalable System Scheduling for HPC and Big Data, Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner, Journal of Parallel and Distributed Computing, 2017 LI>Accumulo and the Convergence of Machine Learning, Big Data, and Supercomputing, Jeremy Kepner, Apache Accumulo Summit, Oct 2018 D4M 3.0: Extended Database and Language Capabilities, Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Performance Measurements of Supercomputing and Cloud Storage Solutions, Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA BigDAWG version 0.1, Vijay Gadepally, Kyle OBrien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Petaflops System Deployment, Kepner, Arcand, Bergeron, Bestor, Byun, Gadepally, Houle, Hubbell, Jananthan, Janner, Jones, Klein, Michaleas, Milechin, Mullen, Prout, Reuther, Rosa, Ross, Samsi, Yee, MIT Lincoln Laboratory Team Award, Aug 2017 BigDAWG Polystore System, Vijay Gadepally, Sam Madden, Jeremy Kepner, Kyle O'Brien, Adam Dziedzic, Aaron Elmore, Mike Stonebraker, Zuohao She, Timothy Mattson, R&D 100 Finalist, Aug 2017 Learning by doing, High Performance Computing education in the MOOC era, J. Mullen, C. Byun, V. Gadepally, S. Samsi, A. Reuther, J. Kepner, Journal of Parallel and Distributed Computing, Jul 2017 D4M 3.0, Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner, North East Database Day, Jan 2017, Cambridge, MA BigDAWG Polystore Release and Demonstration, Kyle OBrien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker, North East Database Day, Jan 2017, Cambridge, MA Enabling Scale-Out, Scale-Up, and Scale-Deep for Big Data, J. Kepner, Invited Talk presented at: North East Database Day, Jan 2017, Cambridge, MA Flatiron Institute for Computational Astrophysics, Oct 2016, New York, NY Princeton University PICSIE Colloquium, Oct 2016, Princeton, NJ Lincoln Laboratory's supercomputing system ranked most powerful in New England, MIT News, Nov 2016 Lincoln Laboratory's supercomputing system ranked most powerful in New England, MIT Lincoln Laboratory News, Nov 2016 MIT Lincoln Laboratory Supercomputing Center Unveils New Top500 System, Dell EMC, Nov 2016 Graphulo: Graph Analytics in Apache Accumulo, Vijay Gadepally, Timothy Weale, Dylan Hutchison, Jeremy Kepner, Apache Accumulo Summit, Oct 2016 Julia Implementation of the Dynamic Distributed Dimensional Data Model [Best Paper Award], Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database [Outstanding Student Paper Award], Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Benchmarking SciDB Data Import on HPC Systems [Best Paper Award Finalist], Siddharth Samsi, Laura Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Scheduler Technologies in Support of High Performance Data Analysis, Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Designing a New High Performance Computing Education Strategy for Professional Scientists and Engineers, Julia S. Mullen, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaeleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Scalability of VM Provisioning Systems, Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matt Hubbell, Jeremy Kepner, Pete Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Novel Graph Processor Architecture, Prototype System, and Results, William Song, Vitaliy Gleyzer, Alexei Lomakin, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA LLMapReduce: Multi-Level Map-Reduce for High Performance Data Analysis, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Benchmarking the Graphulo Processing Framework, Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA The BigDAWG Polystore System and Architecture, Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Enhancing HPC Security with a User-Based Firewall, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms, Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley Kuszmaul, Jeremy Kepner, IPDPS 2016 Graph Algorithms Building Blocks (GABB) workshop, April 2016, Chicago, IL Storage and Database Management for Big Data, Vijay Gadepally, Jeremy Kepner, Albert Reuther, Big Data: Storage, Sharing and Security (3S), CRC Press, 2016, D4M and Large Array Databases for Management and Analysis of Large Biomedical Imaging Data, Siddharth Samsi, Laura Brattain, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA Graphulo: Graph Processing for Accumulo Databases, Dylan Hutchison, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA The BigDAWG Architecture, Vijay Gadepally, Jennie Duggan, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker, North East Database Day (NEDB), Jan 2016, Cambridge, MA Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database [Best Student Paper Award Finalist], Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Improving Big Data Visual Analytics with Interactive Virtual Reality [Best Student Paper Award Finalist], Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Enabling On-Demand Database Computing with MIT SuperCloud Database Management System, Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform, Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Lustre, Hadoop, Accumulo [pdf], Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA D4M: Bringing Associative Arrays to Database Engines, Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA A demonstration of the BigDAWG polystore system, A Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, V Gadepally, J Heer, B Howe, J Kepner, T Kraska, S Madden, D Maier, T Mattson, S Papadopoulos, J Parkhurst, N Tatbul, M Vartak, S Zdonik, Journal Proceedings of the VLDB Endowment - Proceedings of the 41st International Conference on Very Large Data Bases, Volume 8 Issue 12, Aug 2015, Kohala Coast, Hawaii The BigDAWG Polystore System, Jennie Duggan, Aaron Elmore, Michael Stonebraker, Magda Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stan Zdonik, ACM SIGMOD Record, Volume 44 Issue 2, Jun 2015 Big Data Advanced Database Technologies, Vijay Gadepally, Lauren Edwards, Jeremy Kepner, Dylan Hutchison, Julie Mullen, Chansup Byun, IEEE Boston Section Course, Apr-May 2015, Lexington, MA Big Data Architectural Challenges in Cyber Security, Biometrics, and Disaster Response, Jeremy Kepner, IEEE HST, Apr 2015, Waltham, MA Using D4M for rapid prototyping of analytics for Apache Accumulo, Vijay Gadepally, Lauren Edwards, Jeremy Kepner, Accumulo Summit, Apr 2015, Hyattsville, MD Accumulo: Application Development, Table Design, and Best Practices - Forward, O'Reilly Press, Apr 2015 MIT SuperCloud: a Unified System Architecture for Internet-of-Things, Jeremy Kepner, William Arcand, Chansup Byun, Bill Bergeron, David Bestor, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, University of Massachusetts HPC Seminar, Feb 2015, Amherst, MA Sifter: A Generalized, Efficient, and Scalable Big Data Corpus Generator, Vijay Gadepally, Sherwin Wu, Jeremy Kepner, Sam Madden, New England Database Day (NEDB), Jan 2015, Cambridge, MA MIT SuperCloud: a Unified System Architecture for Internet-of-Things, Jeremy Kepner, William Arcand, Chansup Byun, Bill Bergeron, David Bestor, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, MIT Kavli Institute, Oct 2014, Cambridge, MA Addressing the challenges of big data through innovative technologies, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Big Data Innovation Summit, Sep 2014, Boston, MA Computing on Masked Data: a High Performance Method for Improving Big Data Veracity [Top 5%], Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham, IEEE HPEC, Sep 2014, Waltham, MA Achieving 100,000,000 database inserts per second using Accumulo and D4M, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, IEEE HPEC, Sep 2014, Waltham, MA Big Data Dimensional Analysis, Vijay Gadepally & Jeremy Kepner, IEEE HPEC, Sep 2014, Waltham, MA Computing on Masked Data, Vijay Gadepally & Jeremy Kepner, Cyber & Netcentric Workshop, Jun 2014, Lexington, MA Addressing Big Data Challenges Through Innovative Architecture, Databases and Software, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Accumulo Summit, Jun 2014, College Park, MD Addressing big data challenges through innovative architecture, databases and software, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, The Data Warehousing Institute Solution Summit, Mar 11, 2014, Savannah, GA MIT SuperCloud for Supercomputing, Big Data, Databases, and Virtualized Computing, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, BBN Seminar Series, Mar 2014, Cambridge, MA Computing on Masked Big Data, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Nabil Schear, Mayank Varia, New England Database Summit, Jan 2014, Cambridge, MA D4M and Accumulo, Vijay Gadepally & Jeremy Kepner, Advanced Database Technologies Course, Jan 2014, Cambridge, MA D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database, Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Strata Conference + Hadoop World Accumulo Workshop, Dec 2013, New York, NY Advanced Analytics with D4M, Matlab, Accumulo, and Hadoop, Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Nov 2013, Boston Data Festival, Cambridge, MA LLGrid: Next Generation Computing Resources, Jeremy Kepner, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, MIT ARTS, Nov, 2014, Cambridge, MA MIT SuperCloud, Jeremy Kepner, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, Chesapeake Large-Scale Analytics Conference, October 14-16, 2013, Annapolis, MD D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database [Paper] [Presentation] Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA LLSuperCloud: Sharing HPC Systems for Diverse Rapid Prototyping [Paper] [Presentation] Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, & Antonio Rosa, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA Green Computing is Super MIT News, July 18, 2013 LLGrid: Supercomputer for Sensor Processing Jeremy Kepner, William Arcand, Nadya Bliss, William Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, & Charles Yee Contemporary High Performance Computing: From Petascale toward Exascale, editor: Jeffrey Vettor, CRC Press, April, 2013 Massachusetts Miracle Pomona College Today, March 21, 2013 Big Databases for Big Computations Jeremy Kepner (organizer), Minisymposium at SIAM Conference on Computational Science and Engineering, March 1, 2013, Boston, MA Driving Big Data With Big Compute [Paper] [Slides] Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa & Charles Yee, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA Large Scale Network Situational Awareness Via 3D Gaming Technology [Paper] [Slides] [New Scientist Article] [Critical Gamer Article] Matthew Hubbell & Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA Scalable Cryptographic Authentication for High Performance Computing [Paper] [Slides] Andrew Prout, William Arcand, David Bestor, Chansup Byun, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, Albert Reuther & Antonio Rosa, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA HPC-VMs: Virtual Machines in High Performance Computing Systems, Albert Reuther, Peter Michaleas, Andrew Prout & Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA Possible Hadoop Trajectories, Mike Stonebraker & Jeremy Kepner, Communications of the ACM, May 2, 2012 The Future of Scientific Data Bases, Mike Stonebraker, Anastasia Ailamaki, Jeremy Kepner & Alex Szalay, International Conference on Data Engineering (ICDE), April 1-5, 2012, Arlington, Virginia Efficiently Engineered Computing Technology (EFFECT): Software Opportunities, Jeremy Kepner, DARPA/ISAT workshop on: Advancing Computer Systems without Technology Progress, March 26, 2012, Chicago, Illinois Dynamic Distributed Dimensional Data Model (D4M) Database and Computation System [Paper] [Slides] J. Kepner, W. Arcand, W. Bergeron, N. Bliss, R. Bond, C. Byun, G. Condon, K. Gregson, M. Hubbell, J. Kurz, A. McCabe, P. Michaleas, A. Prout, A. Reuther, A. Rosa & C. Yee, ICASSP (International Conference on Acoustics, Speech, and Signal Processing), Special session on Signal and Information Processing for "Big Data" (organizers: Bliss & Wolfe), March 25-30, 2012, Kyoto, Japan The 2011 HPC Challenge Awards, Piotr Luszczek & Jeremy Kepner, Supercomputing, Nov 12-18, 2011, Portland, OR Massive Database Analysis on the Cloud with D4M, [PowerPoint][PDF], J. Kepner, W. Arcand, W. Bergeron, C. Byun, M. Hubbell, B. Landon, A. McCabe, P. Michaleas, A. Prout, T. Rosa, D. Sherrill, A. Reuther & C. Yee, HPEC Workshop, 2011, Sep 21-22, Lexington, MA Persistent Surveillance Supercomputing: MIT LL DHPI Year 1 Update, J. Kepner, W. Arcand, Chansup Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR Persistent Surveillance Supercomputing using the LLGrid Filesystem, J. Kepner, C. Byun, W. Arcand, W. Bergeron, M. Hubbell, A. McCabe, P. Michaleas & A. Reuther, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR Supercomputing: SaaS, IaaS, or PaaS?, A. Reuther & J. Kepner, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR Benchmarking the MIT-LL TX-Green System, C. Byun, J. Kepner, A. McCabe, W. Arcand, W. Bergeron, M. Hubbell, P. Michaleas, J. Mullen, A. Reuther & A. Rosa, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR 3-D Graph Processor [Best Paper Award Finalist], [Abstract] [PowerPoint] [PDF], W. Song, J. Kepner, H. Nguyen, J. Kramer, V. Gleyzer, J. Mann, A. Horst, L. Retherford, R. Bond, N. Bliss, E. Robinson, S. Mohindra & J. Mullen, HPEC Workshop, 2010, Sep 15-16, Lexington, MA Persistent Surveillance Supercomputing in a Can [Top 5%], J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPEC Workshop, 2010, Sep 15-16, Lexington, MA DR&E LLGrid Portal: Interactive Supercomputing for DoD, [Abstract] [PowerPoint] [PDF], A. Reuther, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, J. Kepner, A. McCabe, P. Michaleas, J. Mullen & A. Prout HPEC Workshop, 2010, Sep 15-16, Lexington, MA Toward Mega-Scale Computing with pMatlab, [Abstract] [PowerPoint] [PDF], C. Byun, J. Kepner, V. Sachdeva & K. Jordan, HPEC Workshop, 2010, Sep 15-16, Lexington, MA DR&E LLGrid Portal Prototype , J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL pMatlab on Mega-Core Systems, C. Byun, J. Kepner, A. Reuther, P. Michaleas, V. Sachdeva & K. Jordan, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL Persistent Surveillance Supercomputing: MIT LL DHPI Year 0 Update, J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL Rapid prototyping of radar algorithms, A. Reuther & J. Kepner, IEEE Signal Processing Magazine, Nov 2009, Vol 26 Issue 6, pp 158-162 Parallel Matlab for Multicore and Multinode Computers J. Kepner, SIAM Press, 2009. Contents and Preface [FREE] Primer: Notation and Interfaces Introduction to pMatlab Interacting with Distributed Arrays Parallel Programming Models Advanced Distributed Array Programming Performance Metrics and Software Architecture Parallel Application Analysis Stream RandomAccess Fast Fourier Transform High Performance Linpack Notation for Hierarchical Parallel Multicore Algorithms Index [FREE] Engaging Supercomputing, J. Kepner, MIT Lincoln Laboratory Technical Seminar Series, Invited Talk presented at: MIT RLE Lincoln Lab Seminar Series, November 3, 2010, Cambridge, MA ECE Dept, University of Minnesota, August, 2009, Minneapolis, MN Computational Research in Boston (CRiB) seminar, J. Kepner, A. Edelman & C. Hill, February 6, 2009, MIT, Cambridge, MA Multicore Programming in pMatlab using Distributed Arrays, J. Kepner, MIT Lincoln Laboratory Technical Seminar Series, Invited Talk presented at: Distinguished Lecture Series, Invited Talk: Multicore Programming in pMatlab Using Distributed Arrays, J. Kepner, October 15, 2009, ECE Dept, Northeastern University, Boston, MA DoD HPCMP User's Group, Tutorial: Parallel MATLAB for Multicore and Multinode Computers, J. Kepner, July 15, 2009, San Diego, CA DoD HPCMP User's Group, BoF: Parallel and Multicore Matlab, (organizer: J. Kepner), July 15, 2008, Seattle, WA Challenges of Large Applications in Distributed Environments (CLADE), (Chairs: Y. Kim & X. Li), June 23, 2008, Boston, MA MIT Applied Parallel Computing (instructor: Prof. A. Edelman), April 3 & 8, 2008, Cambridge, MA SIAM Parallel Processing 2008, Minisymposium on Parallel Computing with Matlab, (organizers P. Luszczek & J. Kepner), March 12-14, 2008, Atlanta, GA SC2007 Workshop: Parallel Computing with MATLAB, (Chairs: S. Ahalt & J. Kepner), November 12, 2007, Reno, NV Cloud Computing--Where ISR Data Will Go for Exploitation, [Abstract] [PowerPoint] [PDF], A. Reuther, J. Kepner, P. Michaleas & W. Smith, HPEC Workshop, 2009, Sep 22-23, Lexington, MA Lincoln Laboratory awarded supercomputer, J. Kepner, Press Release, July, 2009 Green supercomputing, economic development, and the DoD, J. Kepner, InsideHPC, July 7, 2009 MIT LL DHPI System Technical Update, J. Kepner, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA Computational Challenges in Graph Detection, J. Kepner, N. Bliss & E. Robinson, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA Cloud Supercomputing for Persistent Surveillance, A. Reuther, J. Kepner, P. Michaleas & W. Smith, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA PhotoMAN Photonic Many-Core Architecture Network, J. Kepner, Invited Talk, DARPA MTO Symposium, March 4, 2009, San Jose, CA Extreme Virtual Memory, J. Kepner, H. Kim & C. Kahn, Patent, 2009 High-Productivity Software Development with pMatlab, J. Mullen, N. Bliss, R. Bond, J. Kepner, H. Kim, A. Reuther, Computing in Science and Engineering, Vol 11 Number 1, pp 75-79, Jan-Feb 2009 BOF: The 2008 HPC Challenge Awards, J. Dongarra and J. Kepner, SC2008, November 13, 2008, Reno, NV High-Productivity Software Development with pMatlab, J. Mullen, N. Bliss, R. Bond, J. Kepner, H. Kim & A. Reuther, IEEE Computing in Science and Engineering, Vol. 11, No. 1, January/February 2009 Evaluating the Productivity of a Multicore Architecture [Abstract] [PowerPoint] [PDF], J. Kepner & N. Bliss, HPEC Workshop, 2008, Sep 23-25, Lexington, MA PVTOL: Designing Portability, Productivity and Performance for Multicore Architectures [Abstract] [PowerPoint] [PDF], H. Kim, N. Bliss, J. Daly, K. Eng, J. Gale, J. Geraci, R. Haney, J. Kepner, S. Mohindra, S. Sacco & E. Rutledge, HPEC Workshop, 2008, Sep 23-25, Lexington, MA Photonic Many-Core Architecture Study [Abstract] [PowerPoint] [PDF], N. Bliss, K. Asanovic, K. Bergman, L. Carloni, J. Kepner & V. Stojanovic, HPEC Workshop, 2008, Sep 23-25, Lexington, MA 2D-3D Registration of Optical and Ladar Imagery for Real-Time Tracking [Abstract] [PowerPoint] [PDF], A. Mastin, J. Fisher & J. Kepner, HPEC Workshop, 2008, Sep 23-25, Lexington, MA MIT Lincoln Laboratory TX-2500 achieves 0.5 Petabytes using pMatlabXVM, J. Kepner, press release, September, 2008. Lincoln Labs: largest single problem ever run, J. Kepner, press release, InsideHPC, Aug 22, 2008 PVTOL: Providing Productivity, Performance and Portability to DoD Signal Processing Applications on Multicore Processors, Hahn Kim; Rutledge, E.; Sacco, S.; Mohindra, S.; Marzilli, M.; Kepner, J.; Haney, R.; Daly, J.; Bliss, N.; DoD HPCMP Users Group Conference,14-17 July 2008 , Seattle, WA BOF: The 2007 HPC Challenge Awards, J. Dongarra and J. Kepner, SC2007, November 13, 2007, Reno, NV Parallel Programming in MATLAB: Best Practices, J. Kepner, SC2007 Workshop: Parallel Computing with MATLAB (Chairs: S. Ahalt & J. Kepner), November 12, 2007, Reno, NV A High-Level Signal Processing Library for Multicore Processors J. Kepner, N. Bliss, R. Haney, J. Kepner, H. Kim, S. Mohindra, S. Sacco, G. Schrader and E. Rutledge, Invited Talk, Sep 24, University of Minnesota, Minneapolis, MN TX-2500: An Interactive, On-Demand Rapid-Prototyping HPC System [Abstract] [PowerPoint] [PDF], A. Reuther, W. Arcand, T. Currie, A. Funk, J. Kepner, M. Hubbell, A. McCabe and P. Michaleas, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA Projective Transform on Cell: A Case Study [Abstract] [PowerPoint] [PDF], S. Sacco, H. Kim, S. Mohindra, P. Boettcher, C. Bowen, N. Bliss, G. Schrader and J. Kepner, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA PVTOL: A High-Level Signal Processing Library for Multicore Processors [Abstract] [PowerPoint] [PDF], H. Kim, N. Bliss, R. Haney, J. Kepner, M. Marzilli, S. Mohindra, S. Sacco, G. Schrader and E. Rutledge, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA Lincoln Lab Releases PVTOL Multicore Software Architecture, J. Kepner, Press Release, HPC Wire, June 29, 2007 Vol. 16, No. 26. MIT Lincoln Laboratory DHPI System Technical Update, J. Kepner, W. Arcand, N. Bliss, T. Currie, M. Hubbell, J. Goodman, H. Kim, A. McCabe, P. Michaleas, B. Miller, J. Mullin & A. Reuther, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA The Technical Challenges of Supporting Interactive HPC, A. Reuther, J. Kepner, J. Mullen, A. McCabe, N. Bliss and H. Kim, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA Benchmarking the MIT LL HPCMP DHPI System, A. Reuther, A. Funk, J. Kepner, A. McCabe, W. Arcand, T. Currie, M. Hubbell and P. Michaleas, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA MIT Lincoln Laboratory Activates LLGrid, J. Kepner, Press Release, HPC Wire, June 15, 2007 Vol. 16, No. 24. LLGrid TX2500 Cluster HPC Challenge Benchmark Results, A. Funk and J. Kepner A High-Level Signal Processing Library for Multicore Processors, S. Sacco, N. Bliss, R. Haney, J. Kepner, H. Kim, S. Mohindra, G. Schrader and E. Rutledge, Georgia Tech, Sony/Toshiba/IBM Workshop on Software and Applications for the Cell/B.E. processor, June 18-19, Georgia Tech, Atlanta, GA Quantitative Measurements of Productivity in an HPC Environment, J. Kepner, Invited Talk, International Conference on Software Engineering, 3rd International Workshop on Software Engineering for High Performance Computing Applications (Chair: J. Carver), May 26, Minneapolis, MN pMatlab: Parallel Matlab Library for Signal Processing Applications, N. Bliss, J. Kepner, H. Kim, A. Reuther, Invited Talk, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Special Session on Parallel and Distributed MATLAB Applications in Signal and Image Processing (Chair: A. Krishnamurthy) April 17, 2007, Honolulu, Hawaii Exploring the Cell with HPEC Challenge Benchmarks, S. Sacco, J. Kepner, G. Schrader and M. Marzelli, Invited Talk, Computational Research in Boston (CRiB) seminar, February 2, 2007, MIT, Cambridge, MA Exploring the Cell with HPEC Challenge Benchmarks, J. Kepner, S. Sacco, G. Schrader and M. Marzelli, Invited Talk, Boston area ARChitecture (BARC 2007) 5th Annual Workshop, January 27, 2007, Boston University, Boston, MA pMatlab Parallel Matlab Library, N. Bliss and J. Kepner, International Journal of High Performance Computing Applications: Special Issue on High Level Programming Languages and Models, J. Kepner and H. Zima (editors), Winter 2006 (November) High Productivity Computing Systems and the Path Towards Usable Petascale Computing: User Productivity Challenges, J. Kepner (editor), CT Watch, Vol 2, Number 4A, November 2006 High Productivity Computing Systems and the Path Towards Usable Petascale Computing: System Productivity Technologies, J. Kepner (editor), CT Watch, Vol 2, Number 4B, November 2006 High Productivity Computing Systems and the Path Towards Usable Petascale Computing, J. Kepner, CT Watch, Vol 2, Number 4A, November 2006 Design and Implementation of the HPC Challenge Benchmark Suite, P. Luszczek, J. Dongarra and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006 Analysis of Parallel Software Development using the Relative Development Time Productivity Metric, A. Funk, V. Basili, L. Hochstein and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006 Designing Scalable Synthetic Compact Applications for Benchmarking High Productivity Computing Systems, D. Bader, K. Madduri, J. Gilbert, V. Shah, J.y Kepner, T. Meuse and A. Krishnamurthy, CT Watch, Vol 2, Number 4A, November 2006 A System-wide Productivity Figure of Merit, D. Murphy, T. Nash, L. Votta and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006 Panel: Is 99% Utilization of a Supercomputer a Good Thing?, A. Snavely and J. Kepner, Supercomputing 2006, November 16, Tampa, FL Panel: High Productivity Computing and Usable Petascale Systems, J. Kepner (Chair), R. Lucas, M. Elnozahy, J. Mitchell and S. Scott Supercomputing 2006, November 15, Tampa, FL 10 HPC Innovations with Parallel Matlab, J. Kepner, N. Bliss, H. Kim, A. McCabe and A. Reuther, Presented at Scatter/Gather (Chair: Ahalt) Supercomputing 2006, November 14, Tampa, FL HPC Challenge Award BoF, J. Dongarra and J. Kepner, Supercomputing 2006, November 14, Tampa, FL The HPC Challenge (HPCC) Benchmark Suite Tutorial, P. Luszczek, D. Bailey, J. Dongarra, J. Kepner, R. Lucas, R. Rabenseifner, and D. Takahashi Supercomputing 2006, November 12, Tampa, FL Productive Petascale Computing, Interview with J. Kepner, HPC Wire, November 15, 2006 Vol. 13, No. 3 Parallel Out-Of-Core Programming in Matlab Using the PGAS Model, H. Kim and J. Kepner, presented at The Second Conference on Partitioned Global Address Space Programming Models, October 3-4, 2006, Washington DC HPC Challenge, J. Kepner, Invited Talk, HPEC Workshop, 2006, Sep 19-21, Lexington, MA The HPEC Challenge Benchmark Suite [Abstract] [PDF], R. Haney, T. Meuse and J. Kepner, HPEC Workshop, 2006, Sep 19-21, Lexington, MA HPEC Challenge SAR Benchmark pMatlab Implementation and Performance [Abstract] [PDF], J. Mullen, T. Meuse and J. Kepner, HPEC Workshop, 2006, Sep 19-21, Lexington, MA Exploring the Cell with HPEC Challenge Benchmarks [Best Paper Award Finalist] [Abstract] [PDF], S. Sacco, J. Kepner, G. Schrader and M. Marzelli, HPEC Workshop, 2006, Sep 19-21, Lexington, MA Parallel VSIPL++ Standard Ratified, Code Available Press Release, J. Kepner, HPC Wire, June 23, 2006, Vol 15, Issue 25 DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, National Center for Atmospheric Research, July 5, 2006, Boulder, CO A Petascale Emulation and Interactive Algorithm Development System, J. Kepner, DOD HPCMP User's Group Conference 2006, June 26-29, Denver, CO High Performance Signal Processing Using Next Generation Multi-Core Processors and Standard APIs, J. Kepner and G. Schrader, DOD HPCMP User's Group Conference 2006, June 26-29, Denver, CO Interactive Grid Computing at Lincoln Laboratory, N. Bliss, R. Bond, H. Kim, A. Reuther, and J. Kepner, Lincoln Laboratory Journal, 2006, Volume 16, Number 1 DARPA High Productivity Computer Systems Program and the Path Towards Usable Petascale Computing, J. Kepner, Invited Talk, Computational Research in Boston (CRiB) Seminar, MIT, May, 3, 2006, Cambridge, MA DARPA High Productivity Computer Systems Program and the Path Towards Usable Petascale Computing, J. Kepner, Invited Talk, Applied Parallel Computing Course, MIT, April, 24, 2006, Cambridge, MA DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, Computer Science Department, University of California, January 9, 2006, San Diego, CA pMatlabXVM: Parallel Matlab for Extreme Virtual Memory, H. Kim, C. Kahn, and J. Kepner, OSC Parallel Matlab Workshop, Supercomputing 2005, November 15, Seattle, WA HPC Challenge Award BoF, J. Dongarra and J. Kepner, Supercomputing 2005, November 15, Seattle, WA High Productivity Computing Systems (HPCS) workshop, J. Kepner (organizer), Supercomputing 2005, November 14, Seattle, WA Tutorial: Parallel and Distributed Computing with MATLAB, L. Dean, S. Grad-Freilich, J. Kepner, and A. Reuther, Supercomputing 2005, November 13, Seattle, WA DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, Computer Science Department, University of Massachusetts, October 25, 2005, Amherst, MA pMatlabXVM: Parallel Matlab for Extreme Virtual Memory, C. Kahn, J. Kepner and H. Kim, Invited Talk, Computer Science Department, Amherst College, October 24, 2005, Amherst, MA Press Release: MIT Lincoln Researchers Release pMatlab J. Kepner, N. Travinin, A. Reuther and H. Kim, HPC Wire, October 14, 2005, Vol. 14, No. 42 Parallel Out-of-Core Matlab for Extreme Virtual Memory, H. Kim, C. Kahn and J. Kepner, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA Automatic Parallelization with pMapper [Best Paper Award Finalist], N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA Enabling Interactive, On-Demand High Performance Computing, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA The HPEC Challenge Benchmark Suite [Abstract] [Slides] Ryan Haney, Theresa Meuse, Jeremy Kepner and James Lebak, HPEC Workshop, 2005, Sep 20-22, Lexington, MA A Relative Development Time Productivity Metric for HPC Systems [Abstract] [Slides], A. Funk, J. Kepner, L. Hochstein, and V. Basili, HPEC Workshop, 2005, Sep 20-22, Lexington, MA pMapper: Automated Mapping of Parallel Matlab Codes [2005 Best Paper Finalist - Top 5%] [Abstract] [Slides], N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, HPEC Workshop, 2005, Sep 20-22, Lexington, MA Advanced Hardware and Software Technologies for Ultra-long FFTs [Abstract] [Slides], H. Kim, J. Kepner, M. Vai and C. Kahn, HPEC Workshop, 2005, Sep 20-22, Lexington, MA pMatlab, J. Kepner, A. Reuther, H. Kim, N. Travinin, Invited talk, PGAS Programming Models Conference, Army High Performance Computing Research Center (AHPCRC), 2005, Sep 13, Minneapolis, MN Press Release: VSIPL Standard Gains Wide Acceptance and VSIPL++ Standard Ratified J. Kepner HPC Wire, August 19, 2005, Vol. 14, No. 33 Parallel Out-of-Core Matlab for Extreme Virtual Memory, H. Kim, C. Kahn and J. Kepner, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 28, Nashville, TN pMapper: Automated Mapping of Parallel Matlab Codes, N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 28, Nashville, TN Technology Requirements for Supporting On-Demand Interactive Grid Computing, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 29, Nashville, TN HPC Challenge Competition Announced J. Dongarra and J. Kepner, HPC Wire, June 2, 2005, Vol. 14, No. 22 Parallel Programming in Matlab Tutorial, J. Kepner, A. Reuther, and H. Kim, Invited talk, Minnesota Supercomputing Institute, 2005, June 1, Minneapolis, MN DARPA High Productivity Computing Systems (HPCS) Overview, J. Kepner, D. Koester and R. Lucas Invited talk, Army High Performance Computing Research Center (AHPCRC), 2005, May 27, Minneapolis, MN Parallel Matlab: Current Achievements and Future Challenges J. Kepner, A. Reuther, H. Kim, N. Travinin, Invited talk, Army High Performance Computing Research Center (AHPCRC), 2005, May 27, Minneapolis, MN Application of a Development Time Productivity Metric to Parallel Software Development, A. Funk, V. Basili, L. Hochstein, and J. Kepner, Second International Workshop on Software Engineering for High Performance Computing System Applications at the 27th International Conference on Software Engineering, May 15, St. Louis, MO Panel: The Future of High-End Computing: Standing on One Another's Feet, D. Reed (moderator), R. Lucas, C. Johnson, J. Kepner and R. Pennington, International Parallel and Distributed Processing Symposium, April 4, Boulder, CO Parallel VSIPL++: An Open Standard Software Library for High-Performance Parallel Signal Processing, with J. Lebak, H. Hoffmann and E. Rutledge, Proceedings of the IEEE: Special Issue on Program Generalization, Optimization, and Platform Adaptation, J. Moura (editor), Vol. 93, No. 2, 2005, pp. 313-330 pMatlab: High Productivity, High Performance Scientific Computing, N. Travinin, R. Bond, J. Kepner and H. Kim, 2005 SIAM Conference on Computational Science and Engineering, February 12, Orlando, FL High Productivity Computing Systems (HPCS) workshop, J. Kepner (organizer), Supercomputing 2004, November 8, Pittsburgh, PA DARPA's HPCS Program to Redefine Performance Measurements Interview with J. Kepner, HPC Wire, Nov 5, 2004, Vol. 13, No. 44 Parallel Matlab: Current Achievements and Future Challenges J. Kepner, A. Reuther, H. Kim, N. Travinin, Ohio Supercomputing Center Mini-Workshop on Parallel Matlab, Supercomputing 2004, November 8, Pittsburgh, PA pMapper: Automated Mapping of Parallel Matlab Codes, N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, Ohio Supercomputing Center Mini-Workshop on Parallel Matlab, Supercomputing 2004, November 8, Pittsburgh, PA HPC Productivity: An Overarching View, J. Kepner, International Journal of High Performance Computing Applications: Special Issue on HPC Productivity J. Kepner (editor), Volume 18, Number 4, Winter 2004 (November) HPC Productivity Model Synthesis, J. Kepner, International Journal of High Performance Computing Applications: Special Issue on HPC Productivity J. Kepner (editor), Volume 18, Number 4, Winter 2004 (November) pMatlab Takes the HPCchallenge [Abstract] [Precis] [PDF], R. Haney, A. Funk, J. Kepner, H. Kim, C. Rader, A. Reuther, N. Travinin, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004 Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner, T. Currie, H. Kim, A. McCabe, B. Mathew, M. Moore, D. Rabinkin, A. Reuther, A. Rhoades, N. Travinin, and L. Tella, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004 LLgrid: Enabling On-Demand Grid Computing with gridMatlab and pMtalab [Abstract] [PowerPoint] [PDF], A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004 On Demand Grid Computing with Grid Matlab and pMatlab, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, IEEE International Conference on Cluster Computing, San Diego, CA 20-23 September 2004 HPCS Productivity Overview, J. Kepner, Invited Talk, DOD HPCMP User's Group Conference 2004, June 8, Williamsburg, VA On Demand Grid Computing with Grid Matlab and pMatlab, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin DOD HPCMP User's Group Conference 2004, June 8, Williamsburg, VA Press Release: MIT Lincoln Lab, Ohio Researchers Deploy MatlabMPI Solution HPC Wire, April 16, 2004, Vol. 13, No. 15 Software Technologies for High-Performance Parallel Signal Processing, J. Kepner and J. Lebak, Lincoln Laboratory Journal, Volume 14, Number 2, March, 2004. MatlabMPI, J. Kepner and S. Ahalt, Journal of Parallel and Distributed Computing (JPDC), 2004 HPC Productivity panel at Supercomputing 2003 with Thomas Sterling, Marc Snir, Ken Kennedy, Bob Numrich, Larry Votta, and David Kuck, November 21, 2003, Phoenix, AZ Parallel Matlab: The Next Generation [Abstract] [PowerPoint] [PDF], J. Kepner and N. Travinin, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA High Performance Embedded Computing Software Initiative (HPEC-SI) [Abstract] [PowerPoint] [PDF], J. Kepner, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA HPCS Application Analysis and Assessment [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner and D. Koester, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA Parallel Image Processing with MatlabMPI, J. Kepner and S. Ahalt, DOD HPCMP User's Group Conference 2003, June 12, Bellevue, WA High Performance Embedded Computing Software Initiative, J. Kepner, DOD HPCMP User's Group Conference 2003, June 10, Bellevue, WA Parallel Programing with MatlabMPI, J. Kepner, presented at the Princeton University PICSIE Seminar, May 8, 2003, Princeton, NJ High Performance Embedded Computing Software Initiative (HPEC-SI), J. Kepner, GOMACTECH, 13 March 2003, Tampa, FL, DoD Sensor Processing: Applications and Supporting Software Technology, J. Kepner, Tutorial at Supercomputing 2002, November 17, 2002, Baltimore, MD 300x Matlab [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner, 6th High Performance Embedded Computing workshop (HPEC 2002), September 25-27, 2002, MIT Lincoln Laboratory, Lexington, MA Parallel Programing with MatlabMPI, J. Kepner, 2002 Maui High Performance Computing Center (MHPCC) Application Briefs Press Release: Researchers Achieve 300x Speedup On HPCMP Supercomputer , HPC Wire, July 19, 2002, Vol. 11, No. 28 300x Faster Matlab with MatlabMPI, J. Kepner and S. Ahalt, submitted to Supercomputing 2002 Parallel Computation Techniques for Real-Time Stream Processing, J. Kepner, MIT Course SMA 5505/6.338J/18.337J Applied Parallel Computing, 10 April 2002, MIT Math Department, Cambridge, MA Programming Parallel Computers for Real-Time Stream Processing, J. Kepner, presented at: Dept. of Computer Science, April, 2004, Amherst College, Amherst, MA Dept. of Electrical and Computer Engineering, May 13, 2003, WPI, Waltham, MA Dept. of Electrical and Computer Engineering, April 24, 2002, University of Rhode Island, Kingston, RI; Dept. of Astrophysics, March 28, 2002, Princeton University, Princeton, NJ; Department of Physics, November 14, 2001, U.S. Air Force Academy, Boulder, CO National Center for Atmospheric Research (NCAR), November 11, 2001, Boulder, CO Department of Computer Science, September 28, 2001, Williams College, Williamstown, MA Center for Subsurface Imaging and Sensing Systems, January 11, 2001, Northeastern University, Boston, MA LCS Computer Architectures group, December 17, 2000, MIT, Cambridge, MA Computational Research in Princeton (CRP) series, November 30, 2000, Princeton University, Princeton, NJ; High Performance Embedded Computing Software Initiative (HPEC-SI), J. Kepner, GOMAC, 13 March 2002, Monterey, CA, A Multi-Threaded Fast Convolver for Dynamically Parallel Image Processing, J. Kepner, 2002 accepted by the Journal of Parallel and Distributed Computing Supercomputing in a Shoebox Q/A, HPC Wire, November 15, 2001 Supercomputing in a Shoebox: the convergence of High Performance Computing (HPC) and High Performance Embedded Computing (HPEC), with Jack Dongarra, Charles Holland, Craig Lund, Charles Seitz, Tony Skjellum and Tom Sterling, panel at Supercomputing 2001, November 13, 2001, Denver, CO PVL An Object Oriented Software Library for Parallel Signal Processing, with E. Rutledge, to be presented at Cluster 2001, October 9, 2001, Newport Beach, CA Parallel Programing with MatlabMPI [Top 5%]<\b>, J. Kepner, 5th High Performance Embedded Computing workshop (HPEC 2001), September 25-27, 2001, MIT Lincoln Laboratory, Lexington, MA S3P: Automatic, Optimized, Mapping of Signal Processing Applications to Parallel Architectures, H. Hoffman, J. Kepner, R. Bond, High Performance Embedded Computing Workshop (HPEC 2001), September 25-27, 2001, MIT Lincoln Laboratory, Lexington, MA Defining Future High Performance Embedded Computing Software Standards, J. Kepner, presented at the DoD HPCMO Signal/Image Processing Forum (SIP 2001) in Biloxi, MS on 15-16 May 2001 Software Fault Recovery for Real-Time Signal Processing on Massively Parallel Computers, with J. Lebak and H. Hoffmann, presented at the Tenth SIAM Conference on Parallel Processing for Scientific Computing, March 12-14, Portsmouth, VA Integration of VSIPL and OpenMP into a Parallel Image Processing Environment, J. Kepner, proceedings of the the fourth High Performance Embedded Computing Workshop (HPEC 2000), September 20-22, 2000, MIT Lincoln Laboratory, Lexington, MA High Speed Interconnects and Parallel Software Libraries: Enabling Technologies for the NVO, J. Kepner and J. McMahon, presented at CalTech, June 14, 2000, Virtual Observatories of the Future, ASP Conference Proceedings, Vol. 225. Edited by Robert J. Brunner, S. George Djorgovski, and Alex S. Szalay. San Francisco: Astronomical Society of the Pacific, ISBN: 1-58381-057-9, p.297 Enabling Technologies for the National Virtual Observatory, Jeremy Kepner and Janice McMahon, presented at the Center for Astrophysics, Harvard University, 11 May 2000 VLSI Photonics Interconnects: a Systems Perspective, Janice McMahon and Jeremy Kepner, invited talk presented at Interconnections within High-Speed Digital Systems (IHSDS) 21-24 May 2000 Santa Fe, NM IEEE White Paper on Cluster Computing with Dan Katz, edited by M. Baker, Journal of Parallel and Distributed Computing, Vol 15, No 2, Summer 2001 The Vector, Signal, and Image Processing Library (VSIPL) Standard for High Performance Computing: Interface and Product Status of v1.0, with J. Lebak, R. Janka and M. Richards, Presented at Supercomputing 99 (SC99) November 13-19, 1999, Portland, Oregon Interfacing Interpreted and Compiled Languages to Support Applications on a Massively Parallel Network of Workstations (MP-NOW), J. Kepner, M. Gokhale, R. Minnich, A. Marks & J. DeGood, Cluster Computing 2000, Vol 3, #1, 66 Interfacing Interpreted and Compiled Languages for Computing on a Massively Parallel Network of Workstations (MP-NOW), J. Kepner, M. Gokhale, R. Minnich, A. Marks & J. DeGood, Presented at the High Performance Embedded Computing Workshop (HPEC98), September 23-24, 1998, MIT Lincoln Laboratory, Lexington, MA BugDB: the worlds first dynamic web site?, J. Kepner and D. Beaudry, September 1993, VI Corp (aka DV Corp aka GE Intelligent Platforms DataViews), Northampton, MA	Eigenvalue Distribution of Max-Plus Random Matrices, Daeho Lee, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2024 Are ChatGPT and Other Similar Systems the Modern Lernaean Hydras of AI?, Dimitrios Ioannidis, Jeremy Kepner, Andrew Bowne, Harriet S. Bryant, Fordham Law Review, Fall 2023 Testing RadiX-Nets: Advances in Viable Sparse Topologies, Kevin Kwak, Zack West, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023 Fuzzy Relational Databases via Associative Arrays, Kevin Min, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023 Algebraic Conditions on One-Step Breadth-First Search, Emma Fu, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023 From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data [Best Paper Award (2nd Place)], Christopher Howard, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023 From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference, Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Divesh Tiwari, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 Lincoln AI Computing Survey (LAICS), Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023 AI Enabled Maneuver Identification via the Maneuver Identification Challenge, Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner, Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Dec 2022 GraphBLAS and GraphChallenge Advance Network Frontiers, Jeremy Kepner, David A Bader, Tim Davis, Roger Pearce, Michael M Wolf, SIAM News, October 2022 AI Accelerator Survey and Trends, Albert Reuther, Jeremy Kepner, Vijay Gadepally, Siddharth Samsi, Peter Michaleas, Michael Jones, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 Developing a Series of AI Challenges for the United States Department of the Air Force, Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022 Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis, Jeremy Kepner, ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Jul 2022 AI Accelerator Survey and Trends, Albert Reuther, Peter Michaleas, Michael S Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Maneuver Identification Challenge, Kaira M Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Siddharth Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021 Naming Schema for a Human Brain-Scale Neural Network, Pat Morgan Schaefer, Lauren Michelin, Jeremy Kepner, IEEE MIT URTC, Oct 2021 Hybrid Power-Law Models of Network Traffic, Pat Devlin, Jeremy Kepner, Ashley Luo, Erin Meger, IEEE IPDPS GrAPL Workshop, May 2021 Mathematics of Digital Hyperspace, Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, IEEE IPDPS GrAPL Workshop, May 2021 Homomorphic Encryption Based Secure Sensor Data Processing, Vijay Gadepally, Mihailo Isakov, Rashmi Agrawal, Jeremy Kepner, Karen Gettings, Michel A Kinsy, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020 Mathematical Foundations of the GraphBLAS and Big Data, Jeremy Kepner, Hayden Jananthan, SIAM Conference on Mathematics of Data Science (MDS20), June 2020 RadiX-Net: Structured Sparse Matrices for Deep Neural Networks, Ryan A. Robinett, Jeremy Kepner, IEEE IPDPS GrAPL Workshop, May 2019, Rio de Janeiro, Brazil RadiX-Net: Structured Sparse Matrices for Deep Neural Networks, Ryan A. Robinett, Jeremy Kepner, Invited talk at the AMS Spring Eastern Sectional Meeting Special Session on Recent Advances in Structured Matrices and Their Applications, April 14 2019, Hartford, CT Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, IEEE Integrated STEM Education Conference (ISEC), Mar 2019, Princeton, NJ Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering, Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner, Hello World, Hello MIT. Celebrating the MIT Stephen A. Schwarzman College of Computing, Feb 28 2019, Cambridge, MA Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, Hello World, Hello MIT. Celebrating the MIT Stephen A. Schwarzman College of Computing, Feb 28 2019, Cambridge, MA Database Schema for Human Brain Scale Neural Networks, Richard Wang, Jeremy Kepner, Northeast Database Day, Jan 2019, Cambridge, MA Rulemaking for Insider Threat Mitigation, I Linkov, K Poinsatte-Jones, BD Trump, AA Ganin, J Kepner, Cyber Resilience of Systems and Networks, 265-286, 2019 Neural Network Topologies for Sparse Training, Ryan A. Robinett, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA Pruned and Structurally Sparse Neural Networks, Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA Counting Neural Networks, Peter Mizes, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering, Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA Sparse Deep Neural Network Exact Solutions, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA Large-Scale Bayesian Kinship Analysis, Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA GraphChallenge.org: Raising the Bar on Graph Analytic Performance, Siddharth Samsi, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Smith, William Song, Diane Staheli, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA POWER9 and cognitive computing, Manoj Kumar, W P Horn, Jeremy Kepner, José Moreira, Pratap Pattnaik, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas, IBM Journal of Research and Development, Jul 2018 Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs, Jeremy Kepner & Hayden Jananthan, MIT Press, Jun 2018 Foreword by Charles Leiserson, Preface, About the Authors, About the Cover, Acknowledgments (12 pages, 3 figures) Part I: APPLICATIONS AND PRACTICE Chapter 1 - Introduction and Overview (12 pages, 11 figures, 10 exercises, 12 references) Chapter 2 - Perspectives on Data (13 pages, 8 figures, 11 exercises, 55 references) Chapter 3 - Dynamic Distributed Dimensional Data Model (17 pages, 9 figures, 4 exercises, 58 references) Chapter 4 - Associative Arrays and Musical Metadata (9 pages, 8 figures, 10 exercises, 8 references) Chapter 5 - Associative Arrays and Abstract Art (10 pages, 12 figures, 7 exercises, 9 references) Chapter 6 - Manipulating Graphs with Matrices (28 pages, 12 figures, 14 exercises, 58 references) Chapter 7 - Graph Analysis and Machine Learning Systems (26 pages, 20 figures, 10 exercises, 43 references) Part II: MATHEMATICAL FOUNDATIONS Chapter 8 - Visualizing the Algebra of Associative Arrays (18 pages, 10 figures, 11 exercises, 33 references) Chapter 9 - Defining the Algebra of Associative Arrays (21 pages, 4 figures, 8 exercises, 13 references) Chapter 10 - Structural Properties of Associative Arrays (37 pages, 17 theorems, 23 exercises, 15 references) Chapter 11 - Graph Construction and Graphical Patterns (32 pages, 10 figures, 11 exercises, 26 references) Part III: LINEAR SYSTEMS Chapter 12 - Survey of Common Transformations (29 pages, 4 figures, 39 diagrams, 6 exercises, 10 references) Chapter 13 - Maps and Bases (18 pages, 6 theorems, 12 exercises, 18 references) Chapter 14 - Linearity of Associative Arrays (26 pages, 20 theorems, 14 exercises, 13 references) Chapter 15 - Eigenvalues and Eigenvectors (35 pages, 22 theorems, 12 exercises, 7 references) Chapter 16 - Higher Dimensions (14 pages, 5 exercises, 10 references) Appendix: Notation (8 pages) Index (6 pages) Online solutions to 63 selected exercises Instructor solutions to all exercises (54 pages) On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner, IPDPS Workshops, May 2018, Vancouver, Canada Design, Generation, and Validation of Extreme Scale Power-Law Graphs, Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoff Sanders, Charles Yee, Albert Reuther, IPDPS Workshops, May 2018, Vancouver, Canada MIT SuperCloud for AI Algorithm Development, Vijay Gadepally, Lauren Milechin, Patrick Brown, Sam Elder, Kritkorn Karntikoon, Jingzhao Zhang, MIT Quest for Intelligence - Launch, Mar 2018, Cambridge, MA Enabling Massive Deep Neural Networks with the GraphBLAS.org Standard, Jeremy Kepner, Vijay Gadepally, Manoj Kumar, Jos Moreira, Pratap Pattnaik, Mauricio Serrano, Henry Tuf, MIT Quest for Intelligence - Launch, Mar 2018, Cambridge, MA Polystore Mathematics of Relational Algebra, Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner, IEEE Big Data, Dec 2018, Boston, MA Linear Systems over Join-Blank Algebras, Hayden Jananthan, Suna Kim, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Nov 2017, Cambridge, MA Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE Big Data conference, Dec 2017, Boston, MA Streaming Graph Challenge: Stochastic Block Partition, Edward Kao, Vijay Gadepally, Michael Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Smith, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs, Siddharth Samsi, Brian Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Static Graph Challenge: Subgraph Isomorphism, Siddharth Samsi, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Smith, William Song, Diane Staheli, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Enabling Massive Deep Neural Networks with the GraphBLAS, Jeremy Kepner, Manoj Kumar, Jose Moreira, Pratap Pattnaik, Mauricio Serrano, Henry Tufo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA Convergence of Machine Learning, Big Data, and Supercomputing, J. Kepner, Keynote Talk, DOE Computational Science Graduate Fellows Annual Meeting, Jul 2017 Learning Machines, Profile, DEIXIS Magazine, Jul 2017 Convergence of Machine Learning, Big Data, and Supercomputing, J. Kepner, Invited Talk presented at: IEEE HPEC, Sep 2017, Waltham, MA Aerospace Corporation, Aug 2017, El Segundo, CA University of Southern California, Aug 2017, Los Angeles, CA NASA JPL, Aug 2017, Pasadena, CA Pomona College, Aug 2017, Claremont, CA UC Santa Barbara, Aug 2017, Santa Barbara, CA Columbia University, Jul 2017, New York, NY MIT CRIBB Seminar, Jul 2017, Cambridge, MA Wellesley University, Apr 2017, Wellesley, MA Harvard University, Apr 2017, Wellesley, MA Constructing Adjacency Arrays from Incidence Arrays, Hayden Jananthan, Karia Dibert, Jeremy Kepner, IEEE IPDPS, May 2017 SIAM Data Mining Brings It to Annual Meeting, Jeremy Kepner, Vijay N Gadepally, Benjamin A Miller, Rajmonda S Caceres, Sanjukta Bhowmich, Aydin Buluc, Jordan Crouser, Jennifer Webster, SIAM News, Feb 2017 Resilience of Cyber Systems with Over and Underregulation, Viktoria Gisladottir, Alexander A Ganin, Jeffrey M Keisler, Jeremy Kepner, Igor Linkov, Risk Analysis, Dec 2016 Non-Negative Matrix Factorization Test Cases, Connor Sell, Jeremy Kepner, IEEE MIT Undergraduate Research Conference, Nov 2016, Cambridge, MA Mathematical Foundations of the GraphBLAS, Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluc, Franz Franchetti, John Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Jose Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy Mattson, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Associative Array Model of SQL, NoSQL, and NewSQL Databases, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy Mattson, Siddharth Samsi, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA Large Enforced Sparse Non-Negative Matrix Factorization, Brendan Gavin, Vijay Gadepally, Jeremy Kepner, IPDPS 2016 Graph Algorithms Building Blocks (GABB) workshop, April 2016, Chicago, IL Sparse Non-Negative Matrix Factorization for Big Data Topic Modeling, Brendan Gavin, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA Algebra, Triangles and Line Graphs, Jaroor Modi, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA Percolation Model of insider threats to assess the optimum number of rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Environment Systems and Decisions, Volume 35, Issue 4, pp 504-510, Dec 2015 Algebraic Conditions for Generating Accurate Adjacency Arrays, Karia Dibert, Hayden Jansen, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Nov 2015 High Performance Computing of Gene Regulatory Networks using a Message-Passing Model, Kimberly Glass, John Quackenbush, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics, Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Using a Power Law Distribution to Describe Big Data, Vijay Gadepally, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jansen, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA Graphulo: Graph Analytics in GraphBLAS, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, GraphEx Workshop, Jul 2015, Dedham, MA Building Blocks for Graph Algorithms in the Language of Linear Algebra, John R. Gilbert, David Bader, Aydin Buluc, Jeremy Kepner, Tim Mattson, Henning Meyerhenke, CIMI Workshop on Innovative Clustering Methods, Jul 2015, Toulouse, France Graphs, Matrices, and the GraphBLAS: Seven Good Reasons, Jeremy Kepner, David Bade, Aydin Buluc, John Gilbert, Timothy Mattson, Henning Meyerhenke, International Conference on Computational Science, Procedia Computer Science, 51, 2453-2462, Jun 2015, Reykavik, Iceland Percolation Model of Insider Threats to Assess the Optimum Number of Rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Cyber & Netcentric Workshop, Jun 2015, Lexington, MA Graphulo: Linear Algebra Graph Kernels for NoSQL Databases, Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchinson, Jeremy Kepner, Ben Miller, IPDPS Graph Algorithms Building Blocks, Apr 2015, Hyderabad, India Percolation Model of Insider Threats to Assess the Optimum Number of Rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, MIT Sloan School, Apr 2015, Lexington, MA Rapid Sequence Identification of Potential Pathogens Using Techniques from Sparse Linear Algebra, Stephanie Dodson, Darrell O. Ricke, Jeremy Kepner, Nelson Chiu, Anna Shcherbina, IEEE HST, Apr 2015, Waltham, MA Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs, Jeremy Kepner, Julian Chaidez, Vijay Gadepally, Hayden Jansen, New England Database Day (NEDB), Jan 2015, Cambridge, MA Using a Big Data Database to Identify Pathogens in Protein Data Space, Ashley Mae Conard, Stephanie Dodson, Jeremy Kepner, Darrell Ricke, New England Database Day (NEDB), Jan 2015, Cambridge, MA Accelerating Big Bio Data Analytics with the MIT SuperCloud, Stephanie Dodson, Darrell Ricke, Ashley Conard, Vijay Gadepally, Albert Reuther, Mayank Varia, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Dana-Farber Institute Center for Cancer Computational Biology Seminar Series, Dec 2014, Boston, MA The Graph BLAS: building blocks for graph algorithms in the language of linear algebra, Aydin Buluc, David Bader, John Gilbert, Joseph Gonzalez, Jeremy Kepner, Tim Mattson, High-performance Graph Algorithms and Applications in Computational Science, Nov 2014, Schloss Dagstuhl Genetic Sequence Matching Using D4M Big Data Approaches [Best Paper Award], Stephanie Dodson, Darrell O. Ricke, Jeremy Kepner, IEEE HPEC, Sep 2014, Waltham, MA The GraphBLAS Standard Effort, Jeremy Kepner, David Bader, Aydin Buluc, John Gilbert, Joseph Gonzalez, Tim Mattson, GraphEx Workshop, Aug 2014, Dedham, MA Accelerating Big Bio Data Analytics with the MIT SuperCloud, Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, AstraZenca Seminar, Aug 2014, Waltham, MA The Graph BLAS effort and its implications for Exascale, David Bader, Aydin Buluc, John Gilbert, Joseph Gonzalez, Jeremy Kepner, Tim Mattson, SIAM workshop on Exascale Applied Mathematics Challenges and Opportunities, Jul 2014, Chicago, IL The Abstract Algebra of Big Data and Associative Arrays, Jeremy Kepner & Julian Chaidez, SIAM Meeting on Discrete Math, Jun 2014, Minneapolis, MN Adjacency Matrices, Incidence Matrices, Database Schemas, and Associative Arrays, Jeremy Kepner & Vijay Gadepally, Graph Algorithm Building Blocks Workshop, IPDPS, May 2014, Pheonix, AZ Analyzing Bio Big Data using the MIT SuperCloud, Jeremy Kepner, Stephanie Dodson, Darrell Ricke, Vijay Gadepally, Pete Michaleas, Albert Reuther, Mayank Varia, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, Harvard Biostatistics Big Data Seminar, Mar 3, 2014, Boston, MA The Abstract Algebra of Big Data, Jeremy Kepner & Julian Chaidez, Union College Mathematics Conference, Oct 2013, Schenectady, NY Creation and Implementation of D4M Algorithm for Protein Analysis, Ashley Conard, Jeremy Kepner, Darrell Ricke, Stephanie Dodson, Opportunities for Undergraduate Research in CS, Oct 18, 2013, Pittsburgh, PA Taming Biological Big Data with D4M Jeremy Kepner, Darrell O. Ricke & Dylan Hutchison, MIT Lincoln Laboratory Journal, Fall 2013 Comparing D4M Genetic Sequence Analysis with BLAST, Stephanie Dodson, Jeremy Kepner, Darrell Ricke, Ashley Conard, Women in Mathematics in New England, Sep 21, 2013, Northampton, MA Standards for Graph Algorithm Primitives [Paper] Tim Mattson (Intel Corporation), David Bader (Georgia Institute of Technology), Jon Berry (Sandia National Laboratory), Aydin Buluc (Lawrence Berkeley National Laboratory), Jack Dongarra (University of Tennessee), Christos Faloutsos (Carnegie Melon University), John Feo (Pacific Northwest National Laboratory), John Gilbert (University of California at Santa Barbara), Joseph Gonzalez (University of California at Berkeley), Bruce Hendrickson (Sandia National Laboratory), Jeremy Kepner (Massachusetts Institute of Technology), Charles Leiserson (Massachusetts Institute of Technology), Andrew Lumsdaine (Indiana University), David Padua (University of Illinois at Urbana-Champaign), Stephen Poole (Oak Ridge National Laboratory), Steve Reinhardt (Cray Corporation), Mike Stonebraker (Massachusetts Institute of Technology), Steve Wallach (Convey Corporation), Andrew Yoo (Lawrence Livermore National Laboratory), IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA Novel Algebras for Advanced Analytics in Julia [Paper] Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA Transforming Bioinformatics Data with D4M Accumulo Jeremy Kepner & Darrell O. Ricke, Keynote: Applied Pharmaceutical Software Conference, June 11, 2013, Cambridge, MA The Role of Linear Algebra in the Computer Science Curriculum, Jeremy Kepner (MIT)[chair], Tim Davis (University of Florida), James Demmel (UC Berkeley), Alan Edelman (MIT), Howard Elman (University of Maryland), John Gilbert (UC Santa Barbara), Michael Heath (University of Illinois), Dianne O'Leary (University of Maryland), Michael Overton (NYU), Yousef Saad (University of Minnesota), Ahmed Sameh (Purdue), Michael Stonebraker (MIT), Gilbert Strang (MIT), Robert van de Geijn (University of Texas), Charles Van Loan (Cornell), Margaret Wright (NYU) Submitted to 2013 ACM/IEEE-CS Computer Science Curricula Joint Task Force Secure Verifiable Queries: Pedigree Preserving Analytics via Associative Array Algebra, Jeremy Kepner, MIT Lincoln Laboratory Cyber Networking Workshop, June 25, 2013, Lexington, MA Dynamic Distributed Dimensional Data Model (D4M), Jeremy Kepner, MIT Lincoln Laboratory Advanced Research and Technology Symposium (ARTS), May 5, 2013, Cambridge, MA A Scalable Signal Processing Architecture for Massive Graph Analysis, B.A. Miller, N. Arcolano, M.S. Beard, N.T. Bliss, J. Kepner, M.C. Schmidt & P.J. Wolfe, ICASSP (International Conference on Acoustics, Speech, and Signal Processing), Special session on Signal and Information Processing for "Big Data" (organizers: Bliss & Wolfe), March 25-30, 2012, Kyoto, Japan Dynamic Distributed Dimensional Data Model (D4M) R & D 100 Nomination, Jeremy Kepner, R & D Magazine March 15, 2013, Rockaway, NJ Large Data Analysis using the Dynamic Distributed Dimensional Data Model (D4M), Jeremy Kepner & Christian Anderson, SIAM Conference on Computational Science and Engineering, March 1, 2013, Boston, MA Transforming Big Data with D4M, [Slides], [Video], New England Database Summit & MIT CRIBB Seminar, February 1, 2013, Cambridge, MA Graphs, Sparse Matrices, SciDB, Scott Sawyer & Jeremy Kepner, Intel Science & Technology Center for Big Data, Annual Meeting, Jan 28, Santa Clara, CA Signal Processing on Databases, Jeremy Kepner, Course given at MIT Lincoln Laboratory, Lexington, MA Lecture 0: Introduction, October 3, 2013 Lecture 1: Using Associative Arrays, October 10, 2013 Lecture 2: Group Theory: Spreadsheets, Big Tables, and the Algebra of Associative Arrays October 17, 2013 Lecture 3: Entity Analysis in Unstructured Data, October 24, 2013 Lecture 4: Analysis of Structured Data, November 14, 2013 Lecture 5: Perfect Power Law Graphs: Generation, Sampling, Construction, and Fitting, October 31, 2013 Lecture 6: Bio Sequence Cross Correlation, November 29, 2013 Lecture 7: Kronecker Graphs, Data Generation, and Performance, December 12, 2013 Database Demonstration, December 5, 2013 Perfect Power Law Graphs: Generation, Sampling, Construction and Fitting, [Abstract] [Presentation], Jeremy Kepner, SIAM Annual Meeting, July 9-13, 2012, Minneapolis, Minnesota Massive Graphs: Big Compute meets Big Data, Jeremy Kepner, David Bader & John Gilbert (co-organizers), Minisymposium at SIAM Annual Meeting, July 9-13, 2012, Minneapolis, Minnesota Spreadsheets, Big Tables, and the Algebra of Associative Arrays, Jeremy Kepner, MAA & AMS Joint Mathematics Meeting, SIAM Minisymposium on Applied, Computational and Discrete Mathematics at National Laboratories and Federal Research Agencies (organizers: Vese & Nasheed), Jan 4-7, 2012, Boston, MA A Biomedical-Engineering Approach to the Random and Systematic Errors of Diagnostic Prostate Biopsy, H. Ahmed, M. Emberton, G. Kepner & J. Kepner, Nature Reviews Urology 9, 227-231 (April 2012) Graph Algorithms in the Language of Linear Algebra J. Kepner & J. Gilbert, SIAM Press, 2011. Contents [FREE] Preface [FREE] Graphs and Matrices J. Kepner Linear Algebraic Notation and Definitions E. Robinson, J. Kepner & J. Gilbert Connected Components and Minimum Paths C. M. Rader Some Graph Algorithms in an Array-Based Language V. B. Shah, J. Gilbert & S. Reinhardt Fundamental Graph Algorithms J. T. Fineman & E. Robinson Complex Graph Algorithms E. Robinson Multilinear Algebra for Analyzing Data with Multiple Linkages D. Dunlavy, T. Kolda & W. P. Kegelmeyer Subgraph Detection J. Kepner Kronecker Graphs J. Leskovec The Kronecker Theory of Power Law Graphs J. Kepner Visualizing Large Kronecker Graphs H. Nguyen, J. Kepner & A. Edelman Large-Scale Network Analysis D. A. Bader, C. Heitsch & K. Madduri Implementing Sparse Matrices for Graph Algorithms A. Buluc, J. Gilbert & V. B. Shah New Ideas in Sparse Matrix Matrix Multiplication A. Buluc & J. Gilbert Parallel Mapping of Sparse Computations E. Robinson, N. Bliss & S. Mohindra Fundamental Questions in the Analysis of Large Graphs J. Kepner, D. A. Bader, B. Bond, N. Bliss, C. Faloutsos, B. Hendrickson, J. Gilbert & E. Robinson Index [FREE] Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies, G. Kepner & J. Kepner, Theoretical Biology and Medical Modeling, 2010 Jun 17;7:23 Sub-Graph Detection, J. Kepner, Graph Exploitation Symposium, April 13-14, 2010, Nedham, MA Automatic registration of LIDAR and optical images of urban scenes, A. Mastin, J. Kepner & J. Fisher III, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, FL Graph Detection Theory for Power Law Graphs, J. Kepner, N. Bliss & E. Robinson, SIAM Annual Meeting 2009, Minisymposium on High Performance Computing on Massive Real-World Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), July 6-10, 2009, Denver, CO Language, Dialect, and Speaker Recognition Using Gaussian Mixture Models on the Cell Processor[Best Paper Award Finalist] [Abstract] [PowerPoint] [PDF], N. Malyska, S. Mohindra, D. Reynolds & J. Kepner HPEC Workshop, 2008, Sep 23-25, Lexington, MA Linear Algebraic Graph Algorithms for Back End Processing [Abstract] [PowerPoint] [PDF], J. Kepner, N. Bliss & E. Robinson, HPEC Workshop, 2008, Sep 23-25, Lexington, MA Theory of Multicore Algorithms [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner & N. Bliss, HPEC Workshop, 2008, Sep 23-25, Lexington, MA Analytic Theory of Power Law Graphs, J. Kepner, SIAM Parallel Processing 2008, Minisymposium on HPC on Large Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), March 12-14, 2008, Atlanta, GA Array Based Betweenness Centrality, E. Robinson & J. Kepner, SIAM Parallel Processing 2008, Minisymposium on HPC on Large Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), March 12-14, 2008, Atlanta, GA Cluster Detection in Databases: The Adaptive Matched Filter Algorithm and Implementation, J. Kepner and R. Kim, 2002 Data Mining and Knowledge Discovery, Vol 7, No 1 The Alignment Effect of Brightest Cluster Galaxies in the SDSS, with R. Kim et al, in "Where's the Matter? Tracing Dark and Bright Matter with the New Generation of Large Scale Surveys", June 2001, Treyer & Tresse Eds, Frontier Group. Detecting Clusters of Galaxies in the Sloan Digital Sky Survey. I. Monte Carlo Comparison of Cluster Detection Algorithms, with R. Kim et al, 2002 Astronomical Journal, Vol 123, pages 20-36 Exploiting VSIPL and OpenMP for Parallel Image Processing, J. Kepner, November 12-15, 2000, Boston, MA Astronomical Data Analysis Software and Systems X (ADASS), ASP Conference Proceedings, Vol. 238. Edited by F. R. Harnden, Jr., Francis A. Primini, and Harry E. Payne. San Francisco: Astronomical Society of the Pacific, ISSN: 1080-7926, 2001., p.209 The Vector, Signal, and Image Processing Library (VSIPL): an Open Standard for Astronomical Data Processing, J. Kepner, J. Lebak, R. Janka and M. Richards, 2000 Bulletin of the American Astronomical Society, 195, #82.11 Clusters of Galaxies in the Sloan Digital Sky Survey, with R. Kim, M. Strauss, M. Postman, N. Bahcall, J. Gunn, R. Lupton, W. Voges, M. Vogeley and the SDSS Collaboration, 2000 Bulletin of the American Astronomical Society, 195, #30.03 Clusters of Galaxies in the Sloan Digital Sky Survey, with R. Kim, M. Strauss, N. Bahcall, J. Gunn, R. Lupton, D. Schlegel and the SDSS Collaboration, 1999 Bulletin of the American Astronomical Society, 194, #88.01 Absorption Line Signatures of Gas in Mini Dark Matter Halos, J. Kepner, T. Tripp, D. Spergel & T. Abel, 1999 Astronomical Journal 117, 2063 An Automated Cluster Finder: the Adaptive Matched Filter, J. Kepner, X. Fan, N. Bahcall, J. Gunn, R. Lupton & G. Xu, 1999 Astrophysical Journal 517, 78 Simulating Galaxy Formation, with Greg Bryan, 19th Texas Symposium on Relativistic Astrophysics and Cosmology, held in Paris, France, Dec. 14-18, 1998. Eds.: J. Paul, T. Montmerle, and E. Aubourg (CEA Saclay). Absorption Line Signatures of Delayed Dwarfs, J. Kepner, T. Abel, T. Tripp & D. Spergel, 1998 Bulletin of the American Astronomical Society, 191, #84.09 Gas Behavior in Galaxy Formation, J. Kepner, Ph.D. Thesis Presentation, Princeton, NJ, April 27, 1998 Inside-out Galaxy Formation, J. Kepner, 1999 Astrophysical Journal 520, 59 The Delayed Formation of Dwarf Galaxies, J. Kepner, A. Babul & D. Spergel, 1997 Astrophysical Journal, 487, 61 A New Statistic for Redshift Surveys: the Redshift Dispersion of Galaxies, J. Kepner, F J Summers & M. Strauss, 1997 New Astronomy, 2, #2, 165 Simulating Plasma Turbulence in Tokamaks, J. Kepner, S. Parker & V. Decyk, (May 1997) SIAM News, 30, #4, 1 Omega from Sigma: Measuring the Cosmological Density with the Redshift Dispersion of Galaxies, J. Kepner, F J Summers & M. Strauss, 1995 Bulletin of the American Astronomical Society, 187, #86.04 Finding Clusters in the SDSS: Derivation of the Generalized Matched Filter, J. Kepner & X. Fan, 1996, SDSS clusters archive #53 Massively Parallel Computing of Turbulent Transport in Tokamaks, J. Kepner, S. Parker & V. Decyk, presented at the International Conference on Parallel Computing, University of Minnesota Supercomputer Institute, October 3-4, 1996. Radially Global Gyrokinetic Simulation Studies of Transport Barriers, S. E. Parker, H. E. Mynick, M. Artun, J. C. Cummings, V. Decyk, J. Kepner, W. W. Lee, and W. M. Tang, 1996 Physics of Plasmas, 3, #5, 1959-1966 Partially Embedded Young Stellar Aggregates, with Strom, K.M., Strom, S.E., Allen, L., & Gordon, S., 1994 Revista Mexicana Astronomia and Astrofisica, 29, 30 The Stellar Populations within the Rho Oph cloud cores, with Strom, K.M., & Strom, S.E., 1994 Astrophysics & Space Science, 217, 223 Hubble Space Telescope Images of the Subarcsecond Jet in DG Tau, with Hartigan, P., Yang, C., & Strom, S., 1993 Astrophysical Journal Letters, 415, L119 Computation of IRAS Fluxes via a priori Astrometry, with Horowitz, J., & Geman, D. 1993 in "Infrared Astronomy with Arrays: The Next Generation," ed. Ian S. MacLean, Kluwer. Modeling Astrophysical Disks Using Nearest Neighbor Perturbations, J.Kepner (advisor: Robert Chambers), Senior Honors Thesis for Astrophysics, 1991, Pomona College, Claremont, CA Comparison of Canonical and Micro-Canonical Sampling Methods in a 2D Ising Model, J.Kepner (advisor: Alexandre Chorin) 1990, Lawrence Berkeley Lab report #LBL-30056.

Supercomputing, Big Data & Cyber

AI, Math & Science

Integrating Python-GraphBLAS into D4M.py, Daniel Quach, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2024
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring [Outstanding Paper Award], Bill Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup, Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS [Outstanding Short Paper Award], Michael Houle, Michael Jones, Dan Wallmeyer, Risa Brodeur, Justin Burr, Hayden Jananthan, Sam Merrell, Peter Michaleas, Anthony Perez, Andrew Prout, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
LLload: An Easy-to-Use HPC Utilization Tool, Chansup Byun, Albert Reuther, Julie Mullen, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alexander Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
GPU Sharing with Triples Mode, Chansup Byun, Albert Reuther, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alexander Bonn, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
Anonymized Network Sensing Graph Challenge, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluc, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic, Jeremy Kepner, Hayden Jananthan, Michael Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydin Buluc, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Piotr Luszczek, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2024
LLload: Simplifying Real-Time Job Monitoring for HPC Users, Chansup Byun, Julia Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin, ACM PEARC, July 2024
Teaching Network Traffic Matrices in an Interactive Game Environment, Chasen Milner, Hayden Jananthan, Jeremy Kepner, Vijay Gadepally, Michael Jones, Peter Michaleas, Ritesh Patel, Sandeep Pisharody, Gabriel Wachman, Alex Pentland, IEEE IPDPS GrAPL Workshop, May 2024
Passive Network Sensor Placement, Justin Burr, Kathleen Moriarty, James Globe, Jeremy Kepner, Michael Jones, Sandeep Pisharody, Security Best Practices, Center for Internet Security, Dec 2023
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hyperspace Matrices, Jeremy Kepner, Michael S Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations, Hayden R Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays [Outstanding Paper Award], Michael S Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
pPython Performance Study, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU [Outstanding Short Paper Award], William Bergeron, Michael Jones, Chase Barber, Kale DeYoung, George Amaiucai, Kaleb Ernst, Nathan Fleming, Peter Michaleas, Sandeep Pisharody, Nathan Wells, Antonio Rosa, Eugene Vasserman, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework, Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan Weckwerth, Brian Xia, Peter Bailis, Michael Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia, Aug 2023
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic, Ivan Kawaminami, Arminda Estrada, Youssef Elsakkary, Hayden Jananthan, Aydin Buluc, Tim Davis, Daniel Grant, Michael Jones, Chad Meiners, Andrew Morris, Sandeep Pisharody, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
GraphBLAS on the Edge: High Performance Streaming of Network Traffic [Outstanding Paper Award], Michael Jones, Jeremy Kepner, Daniel Andersen, Aydin Buluc, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Jon Sreekanth, Doug Stetson, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
Hypersparse Network Flow Analysis of Packets with GraphBLAS, Tyler Trigg, Chad Meiners, Sandeep Pisharody, Hayden Jananthan, Michael Jones, Adam Michaleas, Timothy Davis, Erik Welch, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
Python Implementation of the Dynamic Distributed Dimensional Data Model, Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michale Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
pPython for Parallel Python Programming, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
Beyond Zero Botnets: Web3 Enabled Observe-Pursue-Counter Approach, Jeremy Kepner, TEDx Boston Studio MIT Imagination in Action, Jun 2022
The MIT SuperCloud Workload Classification Challenge, Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi, IEEE IPDPS ADOPT Workshop, May 2022
Temporal Correlation of Internet Observatories and Outposts, Jeremy Kepner, Michael Jones, Daniel Andersen, Aydõn Bulu, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Daniel Grant, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Chad Meiners, Lauren Milechin, Andrew Morris, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Charles Yee, Peter Michaleas, IEEE IPDPS GrAPL Workshop, May 2022
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications, Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari, in IEEE International Symposium on High-Performance Computer Architecture (HPCA), Apr 2022
New Phenomena in Large-Scale Internet Traffic, Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022
Introduction to GraphBLAS, Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluc, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Jose Moreira, John D Owens, Carl Yang, Marcin Zalewski, Timothy G Mattson, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022
Graphulo: Linear Algebra Graph Kernels, Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A Miller, Andrew Prout, Siddharth Samsi, Chuck Yee, Vijay Gadepally, in Massive Graph Analytics (editor David Bader), Chapman and Hall/CRC, Jan 2022
DBOS: a DBMS-oriented operating system, Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia, Proceedings of the VLDB Endowment, Jan 2022
Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets, Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluc, Chansup Byun, K Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Realizing Forward Defense in the Cyber Domain, Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad Meiners, Peter Michaleas, Adam Tse, Doug Stetson, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
3D Real-Time Supercomputer Monitoring, Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup, Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Improved Compression for Word Embeddings by Scaling Principal Components, Joseph P McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Supercomputing Enabled Deployable Analytics for Disaster Response, Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices [Top 5%], Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddarth Samsi, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
The MIT Supercloud Dataset, Siddharth Samsi, Matthew L Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Zero Botnets: An Observe-Pursue-Counter Approach, Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce Maggs, Peter Michaleas, Chad Meiners, Andrew Morris, Alex Pentland, Sandeep Pisharody, Sarah Powazek, Andrew Prout, Philip Reiner, Koichi Suzuki, Kenji Takhashi, Tony Tauber, Leah Walker, Douglas Stetson, Belfer Center Reports, Harvard University, Jun 2021
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid [Outstanding Paper Award], Andrew C Kirby, Siddharth Samsi, Michael S Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Fast Mapping onto Census Blocks [Top 5%], Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, and Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets, Jeremy Kepner, Chad Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Micheal Jones, Andrew Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Best of Both Worlds: High Performance Interactive and Batch Launching, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Benchmarking Network Fabrics for Data Distributed Training of Deep Neural Networks, Siddharth Samsi, Andrew Prout, Michael S Jones, Andrew C Kirby, Bill Arcand, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Accuracy and Performance Comparison of Video Action Recognition Approaches, Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Micheal Houle, Matthew Hubbell, Micheal Jones, Jeremy Kepner, Andrew Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Survey of Machine Learning Accelerators, Albert Reuther, Jeremy Kepner, Vijay Gadepally, Siddharth Samsi, Michael S Jones, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
GraphChallenge.org Sparse Deep Neural Network Performance, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
GraphChallenge.org Triangle Counting Performance, Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Albert Reuther, Steven Smith, William Song, Diane Staheli, Paul Monticciolo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
A Polystore Based Database Operating System (DBOS), Michael Cafarella, David DeWitt, Vijay Gadepally, Jeremy Kepner, Christoforos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia, VLDB Poly20, Aug 2020
75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices, Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE IPDPS GrAPL workshop, May 2020
Developing a Working Data Hub, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi, Lincoln Laboratory Technical Report, Mar 2020
AI Data Wrangling with Associative Arrays, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi, Northeast Database Day, Jan 2020, Cambridge, MA
Training Behavior of Sparse Neural Network Topologies [Best Paper Award], Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Optimizing the Visualization Pipeline of a 3D Monitoring and Management System, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Sparse Deep Neural Network Graph Challenge, Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan Robinett, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Large Scale Parallelization Using File-Based Communications, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Survey and Benchmarking of Machine Learning Accelerators, Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Securing HPC using Federated Authentication, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M, Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Optimizing Xeon Phi for Interactive Data Analysis, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
Hypersparse Neural Network Analysis of Large-Scale Internet Traffic [Top 5%], Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Peter Michaleas, Lauren Milechin, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2019, Waltham, MA
AI Innovation Accelerator Request for Ideas: Responses Release 1.0a (Aug 7, 2019), Daniela Rus, Charles E. Leiserson, Robert Bond, Jeremy Kepner (editors), 550 Pages
AI Enabling Technologies: A Survey, Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez, May 2019
RedisGraph GraphBLAS Enabled Graph Database, Pieter Cailliau, Timothy A Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine, IEEE IPDPS GrAPL workshop, May 2019, Rio de Janeiro, Brazil
A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases, Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand , David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Northeast Database Day, Jan 2019, Cambridge, MA
TabulaROSA: Tabular Operating System Architecture, Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin Pedretti, Albert Reuther, Thomas Sterling, Mike Stonebraker, Northeast Database Day, Jan 2019, Cambridge, MA
RedisGraph GraphBLAS Enabled Graph Database, Pieter Cailliau, Timothy A Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine, Northeast Database Day, Jan 2019, Cambridge, MA
Scaling Big Data Platform for Big Data Pipeline, Rebecca L Wild, Matthew Hubbell, Jeremy Kepner, Northeast Database Day, Jan 2019, Cambridge, MA
Interacting with Accumulo and Graphulo using Julia/Python D4M, Lauren Milechin, Hayden Jananthan, Vijay Gadepally, Jeremy Kepner, Apache Accumulo Summit, Oct 2018
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis, Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines [Top 5%], Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin Pedretti, Albert Reuther, Thomas Sterling, Mike Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud, Vijay Gadepally, Lauren Milechin, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Measuring the impact of Spectre and Meltdown [Best Paper Award Finalist], Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer, Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Database Operations in D4M.jl, Lauren Milechin, Vijay Gadepally, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers, Julia Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner, ISC Workshop on Interactive High Performance Computing (WIHPC), Jun 2018, Frankfurt, Germany
Enabling Graph Analytics with Graphulo, Lauren Milechin, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, Northeast Database Day, Jan 2018, Cambridge, MA
Hyperscaling Network Analysis with D4M on the MIT SuperCloud, Vijay Gadepally, Jeremy Kepner, Lauren Milechin, Koichi Suzuki, Northeast Database Day, Jan 2018, Cambridge, MA
Scalable System Scheduling for HPC and Big Data, Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner, Journal of Parallel and Distributed Computing, 2017 LI>Accumulo and the Convergence of Machine Learning, Big Data, and Supercomputing, Jeremy Kepner, Apache Accumulo Summit, Oct 2018
D4M 3.0: Extended Database and Language Capabilities, Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Performance Measurements of Supercomputing and Cloud Storage Solutions, Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
BigDAWG version 0.1, Vijay Gadepally, Kyle OBrien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Petaflops System Deployment, Kepner, Arcand, Bergeron, Bestor, Byun, Gadepally, Houle, Hubbell, Jananthan, Janner, Jones, Klein, Michaleas, Milechin, Mullen, Prout, Reuther, Rosa, Ross, Samsi, Yee, MIT Lincoln Laboratory Team Award, Aug 2017
BigDAWG Polystore System, Vijay Gadepally, Sam Madden, Jeremy Kepner, Kyle O'Brien, Adam Dziedzic, Aaron Elmore, Mike Stonebraker, Zuohao She, Timothy Mattson, R&D 100 Finalist, Aug 2017
Learning by doing, High Performance Computing education in the MOOC era, J. Mullen, C. Byun, V. Gadepally, S. Samsi, A. Reuther, J. Kepner, Journal of Parallel and Distributed Computing, Jul 2017
D4M 3.0, Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner, North East Database Day, Jan 2017, Cambridge, MA
BigDAWG Polystore Release and Demonstration, Kyle OBrien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker, North East Database Day, Jan 2017, Cambridge, MA
Enabling Scale-Out, Scale-Up, and Scale-Deep for Big Data, J. Kepner, Invited Talk presented at:
- North East Database Day, Jan 2017, Cambridge, MA
- Flatiron Institute for Computational Astrophysics, Oct 2016, New York, NY
- Princeton University PICSIE Colloquium, Oct 2016, Princeton, NJ
Lincoln Laboratory's supercomputing system ranked most powerful in New England, MIT News, Nov 2016
Lincoln Laboratory's supercomputing system ranked most powerful in New England, MIT Lincoln Laboratory News, Nov 2016
MIT Lincoln Laboratory Supercomputing Center Unveils New Top500 System, Dell EMC, Nov 2016
Graphulo: Graph Analytics in Apache Accumulo, Vijay Gadepally, Timothy Weale, Dylan Hutchison, Jeremy Kepner, Apache Accumulo Summit, Oct 2016
Julia Implementation of the Dynamic Distributed Dimensional Data Model [Best Paper Award], Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database [Outstanding Student Paper Award], Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Bill Howe, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Benchmarking SciDB Data Import on HPC Systems [Best Paper Award Finalist], Siddharth Samsi, Laura Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Scheduler Technologies in Support of High Performance Data Analysis, Albert Reuther, Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Michael Jones, Peter Michaleas, Andrew Prout, Antonio Rosa, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Designing a New High Performance Computing Education Strategy for Professional Scientists and Engineers, Julia S. Mullen, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaeleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Scalability of VM Provisioning Systems, Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matt Hubbell, Jeremy Kepner, Pete Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Novel Graph Processor Architecture, Prototype System, and Results, William Song, Vitaliy Gleyzer, Alexei Lomakin, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
LLMapReduce: Multi-Level Map-Reduce for High Performance Data Analysis, Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Benchmarking the Graphulo Processing Framework, Timothy Weale, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
The BigDAWG Polystore System and Architecture, Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Enhancing HPC Security with a User-Based Firewall, Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
PageRank Pipeline Benchmark: Proposal for a Holistic System Benchmark for Big-Data Platforms, Patrick Dreher, Chansup Byun, Chris Hill, Vijay Gadepally, Bradley Kuszmaul, Jeremy Kepner, IPDPS 2016 Graph Algorithms Building Blocks (GABB) workshop, April 2016, Chicago, IL
Storage and Database Management for Big Data, Vijay Gadepally, Jeremy Kepner, Albert Reuther, Big Data: Storage, Sharing and Security (3S), CRC Press, 2016,
D4M and Large Array Databases for Management and Analysis of Large Biomedical Imaging Data, Siddharth Samsi, Laura Brattain, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA
Graphulo: Graph Processing for Accumulo Databases, Dylan Hutchison, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA
The BigDAWG Architecture, Vijay Gadepally, Jennie Duggan, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker, North East Database Day (NEDB), Jan 2016, Cambridge, MA
Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database [Best Student Paper Award Finalist], Dylan Hutchison, Jeremy Kepner, Vijay Gadepally, Adam Fuchs, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Improving Big Data Visual Analytics with Interactive Virtual Reality [Best Student Paper Award Finalist], Andrew Moran, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Enabling On-Demand Database Computing with MIT SuperCloud Database Management System, Andrew Prout, Jeremy Kepner, Peter Michaleas, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Big Data Strategies for Data Center Infrastructure Management Using a 3D Gaming Platform, Matthew Hubbell, Andrew Moran, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Lustre, Hadoop, Accumulo [pdf], Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
D4M: Bringing Associative Arrays to Database Engines, Vijay Gadepally, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Lauren Edwards, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
A demonstration of the BigDAWG polystore system, A Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, V Gadepally, J Heer, B Howe, J Kepner, T Kraska, S Madden, D Maier, T Mattson, S Papadopoulos, J Parkhurst, N Tatbul, M Vartak, S Zdonik, Journal Proceedings of the VLDB Endowment - Proceedings of the 41st International Conference on Very Large Data Bases, Volume 8 Issue 12, Aug 2015, Kohala Coast, Hawaii
The BigDAWG Polystore System, Jennie Duggan, Aaron Elmore, Michael Stonebraker, Magda Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stan Zdonik, ACM SIGMOD Record, Volume 44 Issue 2, Jun 2015
Big Data Advanced Database Technologies, Vijay Gadepally, Lauren Edwards, Jeremy Kepner, Dylan Hutchison, Julie Mullen, Chansup Byun, IEEE Boston Section Course, Apr-May 2015, Lexington, MA
Big Data Architectural Challenges in Cyber Security, Biometrics, and Disaster Response, Jeremy Kepner, IEEE HST, Apr 2015, Waltham, MA
Using D4M for rapid prototyping of analytics for Apache Accumulo, Vijay Gadepally, Lauren Edwards, Jeremy Kepner, Accumulo Summit, Apr 2015, Hyattsville, MD
Accumulo: Application Development, Table Design, and Best Practices - Forward, O'Reilly Press, Apr 2015
MIT SuperCloud: a Unified System Architecture for Internet-of-Things, Jeremy Kepner, William Arcand, Chansup Byun, Bill Bergeron, David Bestor, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, University of Massachusetts HPC Seminar, Feb 2015, Amherst, MA
Sifter: A Generalized, Efficient, and Scalable Big Data Corpus Generator, Vijay Gadepally, Sherwin Wu, Jeremy Kepner, Sam Madden, New England Database Day (NEDB), Jan 2015, Cambridge, MA
MIT SuperCloud: a Unified System Architecture for Internet-of-Things, Jeremy Kepner, William Arcand, Chansup Byun, Bill Bergeron, David Bestor, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, MIT Kavli Institute, Oct 2014, Cambridge, MA
Addressing the challenges of big data through innovative technologies, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Big Data Innovation Summit, Sep 2014, Boston, MA
Computing on Masked Data: a High Performance Method for Improving Big Data Veracity [Top 5%], Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Nabil Schear, Mayank Varia, Arkady Yerukhimovich, Robert K. Cunningham, IEEE HPEC, Sep 2014, Waltham, MA
Achieving 100,000,000 database inserts per second using Accumulo and D4M, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, IEEE HPEC, Sep 2014, Waltham, MA
Big Data Dimensional Analysis, Vijay Gadepally & Jeremy Kepner, IEEE HPEC, Sep 2014, Waltham, MA
Computing on Masked Data, Vijay Gadepally & Jeremy Kepner, Cyber & Netcentric Workshop, Jun 2014, Lexington, MA
Addressing Big Data Challenges Through Innovative Architecture, Databases and Software, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Accumulo Summit, Jun 2014, College Park, MD
Addressing big data challenges through innovative architecture, databases and software, Vijay Gadepally, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, The Data Warehousing Institute Solution Summit, Mar 11, 2014, Savannah, GA
MIT SuperCloud for Supercomputing, Big Data, Databases, and Virtualized Computing, Jeremy Kepner, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, BBN Seminar Series, Mar 2014, Cambridge, MA
Computing on Masked Big Data, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Nabil Schear, Mayank Varia, New England Database Summit, Jan 2014, Cambridge, MA
D4M and Accumulo, Vijay Gadepally & Jeremy Kepner, Advanced Database Technologies Course, Jan 2014, Cambridge, MA
D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database, Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Strata Conference + Hadoop World Accumulo Workshop, Dec 2013, New York, NY
Advanced Analytics with D4M, Matlab, Accumulo, and Hadoop, Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Nov 2013, Boston Data Festival, Cambridge, MA
LLGrid: Next Generation Computing Resources, Jeremy Kepner, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, MIT ARTS, Nov, 2014, Cambridge, MA
MIT SuperCloud, Jeremy Kepner, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, Chesapeake Large-Scale Analytics Conference, October 14-16, 2013, Annapolis, MD
D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database [Paper] [Presentation] Jeremy Kepner, Christian Anderson, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA
LLSuperCloud: Sharing HPC Systems for Diverse Rapid Prototyping [Paper] [Presentation] Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, & Antonio Rosa, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA
Green Computing is Super MIT News, July 18, 2013
LLGrid: Supercomputer for Sensor Processing Jeremy Kepner, William Arcand, Nadya Bliss, William Bergeron, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, & Charles Yee Contemporary High Performance Computing: From Petascale toward Exascale, editor: Jeffrey Vettor, CRC Press, April, 2013
Massachusetts Miracle Pomona College Today, March 21, 2013
Big Databases for Big Computations Jeremy Kepner (organizer), Minisymposium at SIAM Conference on Computational Science and Engineering, March 1, 2013, Boston, MA
Driving Big Data With Big Compute [Paper] [Slides] Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa & Charles Yee, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA
Large Scale Network Situational Awareness Via 3D Gaming Technology [Paper] [Slides] [New Scientist Article] [Critical Gamer Article] Matthew Hubbell & Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA
Scalable Cryptographic Authentication for High Performance Computing [Paper] [Slides] Andrew Prout, William Arcand, David Bestor, Chansup Byun, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, Albert Reuther & Antonio Rosa, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA
HPC-VMs: Virtual Machines in High Performance Computing Systems, Albert Reuther, Peter Michaleas, Andrew Prout & Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2012, Waltham, MA
Possible Hadoop Trajectories, Mike Stonebraker & Jeremy Kepner, Communications of the ACM, May 2, 2012
The Future of Scientific Data Bases, Mike Stonebraker, Anastasia Ailamaki, Jeremy Kepner & Alex Szalay, International Conference on Data Engineering (ICDE), April 1-5, 2012, Arlington, Virginia
Efficiently Engineered Computing Technology (EFFECT): Software Opportunities, Jeremy Kepner, DARPA/ISAT workshop on: Advancing Computer Systems without Technology Progress, March 26, 2012, Chicago, Illinois
Dynamic Distributed Dimensional Data Model (D4M) Database and Computation System [Paper] [Slides] J. Kepner, W. Arcand, W. Bergeron, N. Bliss, R. Bond, C. Byun, G. Condon, K. Gregson, M. Hubbell, J. Kurz, A. McCabe, P. Michaleas, A. Prout, A. Reuther, A. Rosa & C. Yee, ICASSP (International Conference on Acoustics, Speech, and Signal Processing), Special session on Signal and Information Processing for "Big Data" (organizers: Bliss & Wolfe), March 25-30, 2012, Kyoto, Japan
The 2011 HPC Challenge Awards, Piotr Luszczek & Jeremy Kepner, Supercomputing, Nov 12-18, 2011, Portland, OR
Massive Database Analysis on the Cloud with D4M, [PowerPoint][PDF], J. Kepner, W. Arcand, W. Bergeron, C. Byun, M. Hubbell, B. Landon, A. McCabe, P. Michaleas, A. Prout, T. Rosa, D. Sherrill, A. Reuther & C. Yee, HPEC Workshop, 2011, Sep 21-22, Lexington, MA
Persistent Surveillance Supercomputing: MIT LL DHPI Year 1 Update, J. Kepner, W. Arcand, Chansup Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR
Persistent Surveillance Supercomputing using the LLGrid Filesystem, J. Kepner, C. Byun, W. Arcand, W. Bergeron, M. Hubbell, A. McCabe, P. Michaleas & A. Reuther, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR
Supercomputing: SaaS, IaaS, or PaaS?, A. Reuther & J. Kepner, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR
Benchmarking the MIT-LL TX-Green System, C. Byun, J. Kepner, A. McCabe, W. Arcand, W. Bergeron, M. Hubbell, P. Michaleas, J. Mullen, A. Reuther & A. Rosa, HPCMP User's Group Meeting, June 21-23, 2011, Portland, OR
3-D Graph Processor [Best Paper Award Finalist], [Abstract] [PowerPoint] [PDF], W. Song, J. Kepner, H. Nguyen, J. Kramer, V. Gleyzer, J. Mann, A. Horst, L. Retherford, R. Bond, N. Bliss, E. Robinson, S. Mohindra & J. Mullen, HPEC Workshop, 2010, Sep 15-16, Lexington, MA
Persistent Surveillance Supercomputing in a Can [Top 5%], J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPEC Workshop, 2010, Sep 15-16, Lexington, MA
DR&E LLGrid Portal: Interactive Supercomputing for DoD, [Abstract] [PowerPoint] [PDF], A. Reuther, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, J. Kepner, A. McCabe, P. Michaleas, J. Mullen & A. Prout HPEC Workshop, 2010, Sep 15-16, Lexington, MA
Toward Mega-Scale Computing with pMatlab, [Abstract] [PowerPoint] [PDF], C. Byun, J. Kepner, V. Sachdeva & K. Jordan, HPEC Workshop, 2010, Sep 15-16, Lexington, MA
DR&E LLGrid Portal Prototype , J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL
pMatlab on Mega-Core Systems, C. Byun, J. Kepner, A. Reuther, P. Michaleas, V. Sachdeva & K. Jordan, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL
Persistent Surveillance Supercomputing: MIT LL DHPI Year 0 Update, J. Kepner, W. Arcand, C. Byun, B. Bergeron, M. Hubbell, A. McCabe, P. Michaleas, J. Mullen & A. Reuther, HPCMP User's Group Meeting, July 14-17, 2010, Chicago, IL
Rapid prototyping of radar algorithms, A. Reuther & J. Kepner, IEEE Signal Processing Magazine, Nov 2009, Vol 26 Issue 6, pp 158-162
Parallel Matlab for Multicore and Multinode Computers J. Kepner, SIAM Press, 2009.
- Contents and Preface [FREE]
- Primer: Notation and Interfaces
- Introduction to pMatlab
- Interacting with Distributed Arrays
- Parallel Programming Models
- Advanced Distributed Array Programming
- Performance Metrics and Software Architecture
- Parallel Application Analysis
- Stream
- RandomAccess
- Fast Fourier Transform
- High Performance Linpack
- Notation for Hierarchical Parallel Multicore Algorithms
- Index [FREE]
Engaging Supercomputing, J. Kepner, MIT Lincoln Laboratory Technical Seminar Series, Invited Talk presented at:
- MIT RLE Lincoln Lab Seminar Series, November 3, 2010, Cambridge, MA
- ECE Dept, University of Minnesota, August, 2009, Minneapolis, MN
- Computational Research in Boston (CRiB) seminar, J. Kepner, A. Edelman & C. Hill, February 6, 2009, MIT, Cambridge, MA
Multicore Programming in pMatlab using Distributed Arrays, J. Kepner, MIT Lincoln Laboratory Technical Seminar Series, Invited Talk presented at:
- Distinguished Lecture Series, Invited Talk: Multicore Programming in pMatlab Using Distributed Arrays, J. Kepner, October 15, 2009, ECE Dept, Northeastern University, Boston, MA
- DoD HPCMP User's Group, Tutorial: Parallel MATLAB for Multicore and Multinode Computers, J. Kepner, July 15, 2009, San Diego, CA
- DoD HPCMP User's Group, BoF: Parallel and Multicore Matlab, (organizer: J. Kepner), July 15, 2008, Seattle, WA
- Challenges of Large Applications in Distributed Environments (CLADE), (Chairs: Y. Kim & X. Li), June 23, 2008, Boston, MA
- MIT Applied Parallel Computing (instructor: Prof. A. Edelman), April 3 & 8, 2008, Cambridge, MA
- SIAM Parallel Processing 2008, Minisymposium on Parallel Computing with Matlab, (organizers P. Luszczek & J. Kepner), March 12-14, 2008, Atlanta, GA
- SC2007 Workshop: Parallel Computing with MATLAB, (Chairs: S. Ahalt & J. Kepner), November 12, 2007, Reno, NV
Cloud Computing--Where ISR Data Will Go for Exploitation, [Abstract] [PowerPoint] [PDF], A. Reuther, J. Kepner, P. Michaleas & W. Smith, HPEC Workshop, 2009, Sep 22-23, Lexington, MA
Lincoln Laboratory awarded supercomputer, J. Kepner, Press Release, July, 2009
Green supercomputing, economic development, and the DoD, J. Kepner, InsideHPC, July 7, 2009
MIT LL DHPI System Technical Update, J. Kepner, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA
Computational Challenges in Graph Detection, J. Kepner, N. Bliss & E. Robinson, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA
Cloud Supercomputing for Persistent Surveillance, A. Reuther, J. Kepner, P. Michaleas & W. Smith, HPCMP User's Group Meeting, July 15, 2009, San Diego, CA
PhotoMAN Photonic Many-Core Architecture Network, J. Kepner, Invited Talk, DARPA MTO Symposium, March 4, 2009, San Jose, CA
Extreme Virtual Memory, J. Kepner, H. Kim & C. Kahn, Patent, 2009
High-Productivity Software Development with pMatlab, J. Mullen, N. Bliss, R. Bond, J. Kepner, H. Kim, A. Reuther, Computing in Science and Engineering, Vol 11 Number 1, pp 75-79, Jan-Feb 2009
BOF: The 2008 HPC Challenge Awards, J. Dongarra and J. Kepner, SC2008, November 13, 2008, Reno, NV
High-Productivity Software Development with pMatlab, J. Mullen, N. Bliss, R. Bond, J. Kepner, H. Kim & A. Reuther, IEEE Computing in Science and Engineering, Vol. 11, No. 1, January/February 2009
Evaluating the Productivity of a Multicore Architecture [Abstract] [PowerPoint] [PDF], J. Kepner & N. Bliss, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
PVTOL: Designing Portability, Productivity and Performance for Multicore Architectures [Abstract] [PowerPoint] [PDF], H. Kim, N. Bliss, J. Daly, K. Eng, J. Gale, J. Geraci, R. Haney, J. Kepner, S. Mohindra, S. Sacco & E. Rutledge, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
Photonic Many-Core Architecture Study [Abstract] [PowerPoint] [PDF], N. Bliss, K. Asanovic, K. Bergman, L. Carloni, J. Kepner & V. Stojanovic, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
2D-3D Registration of Optical and Ladar Imagery for Real-Time Tracking [Abstract] [PowerPoint] [PDF], A. Mastin, J. Fisher & J. Kepner, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
MIT Lincoln Laboratory TX-2500 achieves 0.5 Petabytes using pMatlabXVM, J. Kepner, press release, September, 2008.
Lincoln Labs: largest single problem ever run, J. Kepner, press release, InsideHPC, Aug 22, 2008
PVTOL: Providing Productivity, Performance and Portability to DoD Signal Processing Applications on Multicore Processors, Hahn Kim; Rutledge, E.; Sacco, S.; Mohindra, S.; Marzilli, M.; Kepner, J.; Haney, R.; Daly, J.; Bliss, N.; DoD HPCMP Users Group Conference,14-17 July 2008 , Seattle, WA
BOF: The 2007 HPC Challenge Awards, J. Dongarra and J. Kepner, SC2007, November 13, 2007, Reno, NV
Parallel Programming in MATLAB: Best Practices, J. Kepner, SC2007 Workshop: Parallel Computing with MATLAB (Chairs: S. Ahalt & J. Kepner), November 12, 2007, Reno, NV
A High-Level Signal Processing Library for Multicore Processors J. Kepner, N. Bliss, R. Haney, J. Kepner, H. Kim, S. Mohindra, S. Sacco, G. Schrader and E. Rutledge, Invited Talk, Sep 24, University of Minnesota, Minneapolis, MN
TX-2500: An Interactive, On-Demand Rapid-Prototyping HPC System [Abstract] [PowerPoint] [PDF], A. Reuther, W. Arcand, T. Currie, A. Funk, J. Kepner, M. Hubbell, A. McCabe and P. Michaleas, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA
Projective Transform on Cell: A Case Study [Abstract] [PowerPoint] [PDF], S. Sacco, H. Kim, S. Mohindra, P. Boettcher, C. Bowen, N. Bliss, G. Schrader and J. Kepner, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA
PVTOL: A High-Level Signal Processing Library for Multicore Processors [Abstract] [PowerPoint] [PDF], H. Kim, N. Bliss, R. Haney, J. Kepner, M. Marzilli, S. Mohindra, S. Sacco, G. Schrader and E. Rutledge, to appear in HPEC Workshop, 2007, Sep 18-20, Lexington, MA
Lincoln Lab Releases PVTOL Multicore Software Architecture, J. Kepner, Press Release, HPC Wire, June 29, 2007 Vol. 16, No. 26.
MIT Lincoln Laboratory DHPI System Technical Update, J. Kepner, W. Arcand, N. Bliss, T. Currie, M. Hubbell, J. Goodman, H. Kim, A. McCabe, P. Michaleas, B. Miller, J. Mullin & A. Reuther, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA
The Technical Challenges of Supporting Interactive HPC, A. Reuther, J. Kepner, J. Mullen, A. McCabe, N. Bliss and H. Kim, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA
Benchmarking the MIT LL HPCMP DHPI System, A. Reuther, A. Funk, J. Kepner, A. McCabe, W. Arcand, T. Currie, M. Hubbell and P. Michaleas, DOD HPCMP User's Group Conference 2007, June 18-22, Pittsburgh, PA
MIT Lincoln Laboratory Activates LLGrid, J. Kepner, Press Release, HPC Wire, June 15, 2007 Vol. 16, No. 24.
LLGrid TX2500 Cluster HPC Challenge Benchmark Results, A. Funk and J. Kepner
A High-Level Signal Processing Library for Multicore Processors, S. Sacco, N. Bliss, R. Haney, J. Kepner, H. Kim, S. Mohindra, G. Schrader and E. Rutledge, Georgia Tech, Sony/Toshiba/IBM Workshop on Software and Applications for the Cell/B.E. processor, June 18-19, Georgia Tech, Atlanta, GA
Quantitative Measurements of Productivity in an HPC Environment, J. Kepner, Invited Talk, International Conference on Software Engineering, 3rd International Workshop on Software Engineering for High Performance Computing Applications (Chair: J. Carver), May 26, Minneapolis, MN
pMatlab: Parallel Matlab Library for Signal Processing Applications, N. Bliss, J. Kepner, H. Kim, A. Reuther, Invited Talk, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Special Session on Parallel and Distributed MATLAB Applications in Signal and Image Processing (Chair: A. Krishnamurthy) April 17, 2007, Honolulu, Hawaii
Exploring the Cell with HPEC Challenge Benchmarks, S. Sacco, J. Kepner, G. Schrader and M. Marzelli, Invited Talk, Computational Research in Boston (CRiB) seminar, February 2, 2007, MIT, Cambridge, MA
Exploring the Cell with HPEC Challenge Benchmarks, J. Kepner, S. Sacco, G. Schrader and M. Marzelli, Invited Talk, Boston area ARChitecture (BARC 2007) 5th Annual Workshop, January 27, 2007, Boston University, Boston, MA
pMatlab Parallel Matlab Library, N. Bliss and J. Kepner, International Journal of High Performance Computing Applications: Special Issue on High Level Programming Languages and Models, J. Kepner and H. Zima (editors), Winter 2006 (November)
High Productivity Computing Systems and the Path Towards Usable Petascale Computing: User Productivity Challenges, J. Kepner (editor), CT Watch, Vol 2, Number 4A, November 2006
High Productivity Computing Systems and the Path Towards Usable Petascale Computing: System Productivity Technologies, J. Kepner (editor), CT Watch, Vol 2, Number 4B, November 2006
High Productivity Computing Systems and the Path Towards Usable Petascale Computing, J. Kepner, CT Watch, Vol 2, Number 4A, November 2006
Design and Implementation of the HPC Challenge Benchmark Suite, P. Luszczek, J. Dongarra and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006
Analysis of Parallel Software Development using the Relative Development Time Productivity Metric, A. Funk, V. Basili, L. Hochstein and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006
Designing Scalable Synthetic Compact Applications for Benchmarking High Productivity Computing Systems, D. Bader, K. Madduri, J. Gilbert, V. Shah, J.y Kepner, T. Meuse and A. Krishnamurthy, CT Watch, Vol 2, Number 4A, November 2006
A System-wide Productivity Figure of Merit, D. Murphy, T. Nash, L. Votta and J. Kepner, CT Watch, Vol 2, Number 4A, November 2006
Panel: Is 99% Utilization of a Supercomputer a Good Thing?, A. Snavely and J. Kepner, Supercomputing 2006, November 16, Tampa, FL
Panel: High Productivity Computing and Usable Petascale Systems, J. Kepner (Chair), R. Lucas, M. Elnozahy, J. Mitchell and S. Scott Supercomputing 2006, November 15, Tampa, FL
10 HPC Innovations with Parallel Matlab, J. Kepner, N. Bliss, H. Kim, A. McCabe and A. Reuther, Presented at Scatter/Gather (Chair: Ahalt) Supercomputing 2006, November 14, Tampa, FL
HPC Challenge Award BoF, J. Dongarra and J. Kepner, Supercomputing 2006, November 14, Tampa, FL
The HPC Challenge (HPCC) Benchmark Suite Tutorial, P. Luszczek, D. Bailey, J. Dongarra, J. Kepner, R. Lucas, R. Rabenseifner, and D. Takahashi Supercomputing 2006, November 12, Tampa, FL
Productive Petascale Computing, Interview with J. Kepner, HPC Wire, November 15, 2006 Vol. 13, No. 3
Parallel Out-Of-Core Programming in Matlab Using the PGAS Model, H. Kim and J. Kepner, presented at The Second Conference on Partitioned Global Address Space Programming Models, October 3-4, 2006, Washington DC
HPC Challenge, J. Kepner, Invited Talk, HPEC Workshop, 2006, Sep 19-21, Lexington, MA
The HPEC Challenge Benchmark Suite [Abstract] [PDF], R. Haney, T. Meuse and J. Kepner, HPEC Workshop, 2006, Sep 19-21, Lexington, MA
HPEC Challenge SAR Benchmark pMatlab Implementation and Performance [Abstract] [PDF], J. Mullen, T. Meuse and J. Kepner, HPEC Workshop, 2006, Sep 19-21, Lexington, MA
Exploring the Cell with HPEC Challenge Benchmarks [Best Paper Award Finalist] [Abstract] [PDF], S. Sacco, J. Kepner, G. Schrader and M. Marzelli, HPEC Workshop, 2006, Sep 19-21, Lexington, MA
Parallel VSIPL++ Standard Ratified, Code Available Press Release, J. Kepner, HPC Wire, June 23, 2006, Vol 15, Issue 25
DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, National Center for Atmospheric Research, July 5, 2006, Boulder, CO
A Petascale Emulation and Interactive Algorithm Development System, J. Kepner, DOD HPCMP User's Group Conference 2006, June 26-29, Denver, CO
High Performance Signal Processing Using Next Generation Multi-Core Processors and Standard APIs, J. Kepner and G. Schrader, DOD HPCMP User's Group Conference 2006, June 26-29, Denver, CO
Interactive Grid Computing at Lincoln Laboratory, N. Bliss, R. Bond, H. Kim, A. Reuther, and J. Kepner, Lincoln Laboratory Journal, 2006, Volume 16, Number 1
DARPA High Productivity Computer Systems Program and the Path Towards Usable Petascale Computing, J. Kepner, Invited Talk, Computational Research in Boston (CRiB) Seminar, MIT, May, 3, 2006, Cambridge, MA
DARPA High Productivity Computer Systems Program and the Path Towards Usable Petascale Computing, J. Kepner, Invited Talk, Applied Parallel Computing Course, MIT, April, 24, 2006, Cambridge, MA
DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, Computer Science Department, University of California, January 9, 2006, San Diego, CA
pMatlabXVM: Parallel Matlab for Extreme Virtual Memory, H. Kim, C. Kahn, and J. Kepner, OSC Parallel Matlab Workshop, Supercomputing 2005, November 15, Seattle, WA
HPC Challenge Award BoF, J. Dongarra and J. Kepner, Supercomputing 2005, November 15, Seattle, WA
High Productivity Computing Systems (HPCS) workshop, J. Kepner (organizer), Supercomputing 2005, November 14, Seattle, WA
Tutorial: Parallel and Distributed Computing with MATLAB, L. Dean, S. Grad-Freilich, J. Kepner, and A. Reuther, Supercomputing 2005, November 13, Seattle, WA
DARPA High Productivity Computer Systems Program, J. Kepner, Invited Talk, Computer Science Department, University of Massachusetts, October 25, 2005, Amherst, MA
pMatlabXVM: Parallel Matlab for Extreme Virtual Memory, C. Kahn, J. Kepner and H. Kim, Invited Talk, Computer Science Department, Amherst College, October 24, 2005, Amherst, MA
Press Release: MIT Lincoln Researchers Release pMatlab J. Kepner, N. Travinin, A. Reuther and H. Kim, HPC Wire, October 14, 2005, Vol. 14, No. 42
Parallel Out-of-Core Matlab for Extreme Virtual Memory, H. Kim, C. Kahn and J. Kepner, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA
Automatic Parallelization with pMapper [Best Paper Award Finalist], N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA
Enabling Interactive, On-Demand High Performance Computing, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, IEEE Conference on Cluster Computing (Clusters 2005), September 27-29, Boston, MA
The HPEC Challenge Benchmark Suite [Abstract] [Slides] Ryan Haney, Theresa Meuse, Jeremy Kepner and James Lebak, HPEC Workshop, 2005, Sep 20-22, Lexington, MA
A Relative Development Time Productivity Metric for HPC Systems [Abstract] [Slides], A. Funk, J. Kepner, L. Hochstein, and V. Basili, HPEC Workshop, 2005, Sep 20-22, Lexington, MA
pMapper: Automated Mapping of Parallel Matlab Codes [2005 Best Paper Finalist - Top 5%] [Abstract] [Slides], N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, HPEC Workshop, 2005, Sep 20-22, Lexington, MA
Advanced Hardware and Software Technologies for Ultra-long FFTs [Abstract] [Slides], H. Kim, J. Kepner, M. Vai and C. Kahn, HPEC Workshop, 2005, Sep 20-22, Lexington, MA
pMatlab, J. Kepner, A. Reuther, H. Kim, N. Travinin, Invited talk, PGAS Programming Models Conference, Army High Performance Computing Research Center (AHPCRC), 2005, Sep 13, Minneapolis, MN
Press Release: VSIPL Standard Gains Wide Acceptance and VSIPL++ Standard Ratified J. Kepner HPC Wire, August 19, 2005, Vol. 14, No. 33
Parallel Out-of-Core Matlab for Extreme Virtual Memory, H. Kim, C. Kahn and J. Kepner, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 28, Nashville, TN
pMapper: Automated Mapping of Parallel Matlab Codes, N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 28, Nashville, TN
Technology Requirements for Supporting On-Demand Interactive Grid Computing, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, Proceedings of the DOD HPCMP User's Group Conference 2005, IEEE Computer Society, June 29, Nashville, TN
HPC Challenge Competition Announced J. Dongarra and J. Kepner, HPC Wire, June 2, 2005, Vol. 14, No. 22
Parallel Programming in Matlab Tutorial, J. Kepner, A. Reuther, and H. Kim, Invited talk, Minnesota Supercomputing Institute, 2005, June 1, Minneapolis, MN
DARPA High Productivity Computing Systems (HPCS) Overview, J. Kepner, D. Koester and R. Lucas Invited talk, Army High Performance Computing Research Center (AHPCRC), 2005, May 27, Minneapolis, MN
Parallel Matlab: Current Achievements and Future Challenges J. Kepner, A. Reuther, H. Kim, N. Travinin, Invited talk, Army High Performance Computing Research Center (AHPCRC), 2005, May 27, Minneapolis, MN
Application of a Development Time Productivity Metric to Parallel Software Development, A. Funk, V. Basili, L. Hochstein, and J. Kepner, Second International Workshop on Software Engineering for High Performance Computing System Applications at the 27th International Conference on Software Engineering, May 15, St. Louis, MO
Panel: The Future of High-End Computing: Standing on One Another's Feet, D. Reed (moderator), R. Lucas, C. Johnson, J. Kepner and R. Pennington, International Parallel and Distributed Processing Symposium, April 4, Boulder, CO
Parallel VSIPL++: An Open Standard Software Library for High-Performance Parallel Signal Processing, with J. Lebak, H. Hoffmann and E. Rutledge, Proceedings of the IEEE: Special Issue on Program Generalization, Optimization, and Platform Adaptation, J. Moura (editor), Vol. 93, No. 2, 2005, pp. 313-330
pMatlab: High Productivity, High Performance Scientific Computing, N. Travinin, R. Bond, J. Kepner and H. Kim, 2005 SIAM Conference on Computational Science and Engineering, February 12, Orlando, FL
High Productivity Computing Systems (HPCS) workshop, J. Kepner (organizer), Supercomputing 2004, November 8, Pittsburgh, PA
DARPA's HPCS Program to Redefine Performance Measurements Interview with J. Kepner, HPC Wire, Nov 5, 2004, Vol. 13, No. 44
Parallel Matlab: Current Achievements and Future Challenges J. Kepner, A. Reuther, H. Kim, N. Travinin, Ohio Supercomputing Center Mini-Workshop on Parallel Matlab, Supercomputing 2004, November 8, Pittsburgh, PA
pMapper: Automated Mapping of Parallel Matlab Codes, N. Travinin, H. Hoffmann, R. Bond, H. Chan, J. Kepner and E. Wong, Ohio Supercomputing Center Mini-Workshop on Parallel Matlab, Supercomputing 2004, November 8, Pittsburgh, PA
HPC Productivity: An Overarching View, J. Kepner, International Journal of High Performance Computing Applications: Special Issue on HPC Productivity J. Kepner (editor), Volume 18, Number 4, Winter 2004 (November)
HPC Productivity Model Synthesis, J. Kepner, International Journal of High Performance Computing Applications: Special Issue on HPC Productivity J. Kepner (editor), Volume 18, Number 4, Winter 2004 (November)
pMatlab Takes the HPCchallenge [Abstract] [Precis] [PDF], R. Haney, A. Funk, J. Kepner, H. Kim, C. Rader, A. Reuther, N. Travinin, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004
Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner, T. Currie, H. Kim, A. McCabe, B. Mathew, M. Moore, D. Rabinkin, A. Reuther, A. Rhoades, N. Travinin, and L. Tella, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004
LLgrid: Enabling On-Demand Grid Computing with gridMatlab and pMtalab [Abstract] [PowerPoint] [PDF], A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, High Performance Embedded Computing (HPEC) workshop, Lexington, MA 28-30 September 2004
On Demand Grid Computing with Grid Matlab and pMatlab, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin, IEEE International Conference on Cluster Computing, San Diego, CA 20-23 September 2004
HPCS Productivity Overview, J. Kepner, Invited Talk, DOD HPCMP User's Group Conference 2004, June 8, Williamsburg, VA
On Demand Grid Computing with Grid Matlab and pMatlab, A. Reuther, T. Currie, J. Kepner, H. Kim, A. McCabe, M. Moore and N. Travinin DOD HPCMP User's Group Conference 2004, June 8, Williamsburg, VA
Press Release: MIT Lincoln Lab, Ohio Researchers Deploy MatlabMPI Solution HPC Wire, April 16, 2004, Vol. 13, No. 15
Software Technologies for High-Performance Parallel Signal Processing, J. Kepner and J. Lebak, Lincoln Laboratory Journal, Volume 14, Number 2, March, 2004.
MatlabMPI, J. Kepner and S. Ahalt, Journal of Parallel and Distributed Computing (JPDC), 2004
HPC Productivity panel at Supercomputing 2003 with Thomas Sterling, Marc Snir, Ken Kennedy, Bob Numrich, Larry Votta, and David Kuck, November 21, 2003, Phoenix, AZ
Parallel Matlab: The Next Generation [Abstract] [PowerPoint] [PDF], J. Kepner and N. Travinin, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA
High Performance Embedded Computing Software Initiative (HPEC-SI) [Abstract] [PowerPoint] [PDF], J. Kepner, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA
HPCS Application Analysis and Assessment [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner and D. Koester, 7th High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA
Parallel Image Processing with MatlabMPI, J. Kepner and S. Ahalt, DOD HPCMP User's Group Conference 2003, June 12, Bellevue, WA
High Performance Embedded Computing Software Initiative, J. Kepner, DOD HPCMP User's Group Conference 2003, June 10, Bellevue, WA
Parallel Programing with MatlabMPI, J. Kepner, presented at the Princeton University PICSIE Seminar, May 8, 2003, Princeton, NJ
High Performance Embedded Computing Software Initiative (HPEC-SI), J. Kepner, GOMACTECH, 13 March 2003, Tampa, FL,
DoD Sensor Processing: Applications and Supporting Software Technology, J. Kepner, Tutorial at Supercomputing 2002, November 17, 2002, Baltimore, MD
300x Matlab [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner, 6th High Performance Embedded Computing workshop (HPEC 2002), September 25-27, 2002, MIT Lincoln Laboratory, Lexington, MA
Parallel Programing with MatlabMPI, J. Kepner, 2002 Maui High Performance Computing Center (MHPCC) Application Briefs
Press Release: Researchers Achieve 300x Speedup On HPCMP Supercomputer , HPC Wire, July 19, 2002, Vol. 11, No. 28
300x Faster Matlab with MatlabMPI, J. Kepner and S. Ahalt, submitted to Supercomputing 2002
Parallel Computation Techniques for Real-Time Stream Processing, J. Kepner, MIT Course SMA 5505/6.338J/18.337J Applied Parallel Computing, 10 April 2002, MIT Math Department, Cambridge, MA
Programming Parallel Computers for Real-Time Stream Processing, J. Kepner, presented at:
- Dept. of Computer Science, April, 2004, Amherst College, Amherst, MA
- Dept. of Electrical and Computer Engineering, May 13, 2003, WPI, Waltham, MA
- Dept. of Electrical and Computer Engineering, April 24, 2002, University of Rhode Island, Kingston, RI;
- Dept. of Astrophysics, March 28, 2002, Princeton University, Princeton, NJ;
- Department of Physics, November 14, 2001, U.S. Air Force Academy, Boulder, CO
- National Center for Atmospheric Research (NCAR), November 11, 2001, Boulder, CO
- Department of Computer Science, September 28, 2001, Williams College, Williamstown, MA
- Center for Subsurface Imaging and Sensing Systems, January 11, 2001, Northeastern University, Boston, MA
- LCS Computer Architectures group, December 17, 2000, MIT, Cambridge, MA
- Computational Research in Princeton (CRP) series, November 30, 2000, Princeton University, Princeton, NJ;
High Performance Embedded Computing Software Initiative (HPEC-SI), J. Kepner, GOMAC, 13 March 2002, Monterey, CA,
A Multi-Threaded Fast Convolver for Dynamically Parallel Image Processing, J. Kepner, 2002 accepted by the Journal of Parallel and Distributed Computing
Supercomputing in a Shoebox Q/A, HPC Wire, November 15, 2001
Supercomputing in a Shoebox: the convergence of High Performance Computing (HPC) and High Performance Embedded Computing (HPEC), with Jack Dongarra, Charles Holland, Craig Lund, Charles Seitz, Tony Skjellum and Tom Sterling, panel at Supercomputing 2001, November 13, 2001, Denver, CO
PVL An Object Oriented Software Library for Parallel Signal Processing, with E. Rutledge, to be presented at Cluster 2001, October 9, 2001, Newport Beach, CA
Parallel Programing with MatlabMPI [Top 5%]<\b>, J. Kepner, 5th High Performance Embedded Computing workshop (HPEC 2001), September 25-27, 2001, MIT Lincoln Laboratory, Lexington, MA
S3P: Automatic, Optimized, Mapping of Signal Processing Applications to Parallel Architectures, H. Hoffman, J. Kepner, R. Bond, High Performance Embedded Computing Workshop (HPEC 2001), September 25-27, 2001, MIT Lincoln Laboratory, Lexington, MA
Defining Future High Performance Embedded Computing Software Standards, J. Kepner, presented at the DoD HPCMO Signal/Image Processing Forum (SIP 2001) in Biloxi, MS on 15-16 May 2001
Software Fault Recovery for Real-Time Signal Processing on Massively Parallel Computers, with J. Lebak and H. Hoffmann, presented at the Tenth SIAM Conference on Parallel Processing for Scientific Computing, March 12-14, Portsmouth, VA
Integration of VSIPL and OpenMP into a Parallel Image Processing Environment, J. Kepner, proceedings of the the fourth High Performance Embedded Computing Workshop (HPEC 2000), September 20-22, 2000, MIT Lincoln Laboratory, Lexington, MA
High Speed Interconnects and Parallel Software Libraries: Enabling Technologies for the NVO, J. Kepner and J. McMahon, presented at CalTech, June 14, 2000, Virtual Observatories of the Future, ASP Conference Proceedings, Vol. 225. Edited by Robert J. Brunner, S. George Djorgovski, and Alex S. Szalay. San Francisco: Astronomical Society of the Pacific, ISBN: 1-58381-057-9, p.297
Enabling Technologies for the National Virtual Observatory, Jeremy Kepner and Janice McMahon, presented at the Center for Astrophysics, Harvard University, 11 May 2000
VLSI Photonics Interconnects: a Systems Perspective, Janice McMahon and Jeremy Kepner, invited talk presented at Interconnections within High-Speed Digital Systems (IHSDS) 21-24 May 2000 Santa Fe, NM
IEEE White Paper on Cluster Computing with Dan Katz, edited by M. Baker, Journal of Parallel and Distributed Computing, Vol 15, No 2, Summer 2001
The Vector, Signal, and Image Processing Library (VSIPL) Standard for High Performance Computing: Interface and Product Status of v1.0, with J. Lebak, R. Janka and M. Richards, Presented at Supercomputing 99 (SC99) November 13-19, 1999, Portland, Oregon
Interfacing Interpreted and Compiled Languages to Support Applications on a Massively Parallel Network of Workstations (MP-NOW), J. Kepner, M. Gokhale, R. Minnich, A. Marks & J. DeGood, Cluster Computing 2000, Vol 3, #1, 66
Interfacing Interpreted and Compiled Languages for Computing on a Massively Parallel Network of Workstations (MP-NOW), J. Kepner, M. Gokhale, R. Minnich, A. Marks & J. DeGood, Presented at the High Performance Embedded Computing Workshop (HPEC98), September 23-24, 1998, MIT Lincoln Laboratory, Lexington, MA
BugDB: the worlds first dynamic web site?, J. Kepner and D. Beaudry, September 1993, VI Corp (aka DV Corp aka GE Intelligent Platforms DataViews), Northampton, MA

Eigenvalue Distribution of Max-Plus Random Matrices, Daeho Lee, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2024
Are ChatGPT and Other Similar Systems the Modern Lernaean Hydras of AI?, Dimitrios Ioannidis, Jeremy Kepner, Andrew Bowne, Harriet S. Bryant, Fordham Law Review, Fall 2023
Testing RadiX-Nets: Advances in Viable Sparse Topologies, Kevin Kwak, Zack West, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023
Fuzzy Relational Databases via Associative Arrays, Kevin Min, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023
Algebraic Conditions on One-Step Breadth-First Search, Emma Fu, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023
From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data [Best Paper Award (2nd Place)], Christopher Howard, Hayden Jananthan, Jeremy Kepner, IEEE MIT URTC, Oct 2023
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference, Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Divesh Tiwari, Vijay Gadepally, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
Lincoln AI Computing Survey (LAICS), Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2023
AI Enabled Maneuver Identification via the Maneuver Identification Challenge, Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner, Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Dec 2022
GraphBLAS and GraphChallenge Advance Network Frontiers, Jeremy Kepner, David A Bader, Tim Davis, Roger Pearce, Michael M Wolf, SIAM News, October 2022
AI Accelerator Survey and Trends, Albert Reuther, Jeremy Kepner, Vijay Gadepally, Siddharth Samsi, Peter Michaleas, Michael Jones, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
Developing a Series of AI Challenges for the United States Department of the Air Force, Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2022
Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis, Jeremy Kepner, ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Jul 2022
AI Accelerator Survey and Trends, Albert Reuther, Peter Michaleas, Michael S Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Maneuver Identification Challenge, Kaira M Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Siddharth Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2021
Naming Schema for a Human Brain-Scale Neural Network, Pat Morgan Schaefer, Lauren Michelin, Jeremy Kepner, IEEE MIT URTC, Oct 2021
Hybrid Power-Law Models of Network Traffic, Pat Devlin, Jeremy Kepner, Ashley Luo, Erin Meger, IEEE IPDPS GrAPL Workshop, May 2021
Mathematics of Digital Hyperspace, Jeremy Kepner, Timothy Davis, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, IEEE IPDPS GrAPL Workshop, May 2021
Homomorphic Encryption Based Secure Sensor Data Processing, Vijay Gadepally, Mihailo Isakov, Rashmi Agrawal, Jeremy Kepner, Karen Gettings, Michel A Kinsy, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2020
Mathematical Foundations of the GraphBLAS and Big Data, Jeremy Kepner, Hayden Jananthan, SIAM Conference on Mathematics of Data Science (MDS20), June 2020
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks, Ryan A. Robinett, Jeremy Kepner, IEEE IPDPS GrAPL Workshop, May 2019, Rio de Janeiro, Brazil
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks, Ryan A. Robinett, Jeremy Kepner, Invited talk at the AMS Spring Eastern Sectional Meeting Special Session on Recent Advances in Structured Matrices and Their Applications, April 14 2019, Hartford, CT
Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, IEEE Integrated STEM Education Conference (ISEC), Mar 2019, Princeton, NJ
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering, Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner, Hello World, Hello MIT. Celebrating the MIT Stephen A. Schwarzman College of Computing, Feb 28 2019, Cambridge, MA
Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, Hello World, Hello MIT. Celebrating the MIT Stephen A. Schwarzman College of Computing, Feb 28 2019, Cambridge, MA
Database Schema for Human Brain Scale Neural Networks, Richard Wang, Jeremy Kepner, Northeast Database Day, Jan 2019, Cambridge, MA
Rulemaking for Insider Threat Mitigation, I Linkov, K Poinsatte-Jones, BD Trump, AA Ganin, J Kepner, Cyber Resilience of Systems and Networks, 265-286, 2019
Neural Network Topologies for Sparse Training, Ryan A. Robinett, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA
Pruned and Structurally Sparse Neural Networks, Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA
Counting Neural Networks, Peter Mizes, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering, Jessica S. Titensky, Hayden Jananthan, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA
Visually Representing the Landscape of Mathematical Structures, Katherine Gravel, Hayden Jananthan, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Oct 2018, Cambridge, MA
Sparse Deep Neural Network Exact Solutions, Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
Large-Scale Bayesian Kinship Analysis, Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
GraphChallenge.org: Raising the Bar on Graph Analytic Performance, Siddharth Samsi, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Smith, William Song, Diane Staheli, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2018, Waltham, MA
POWER9 and cognitive computing, Manoj Kumar, W P Horn, Jeremy Kepner, José Moreira, Pratap Pattnaik, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas, IBM Journal of Research and Development, Jul 2018
Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs, Jeremy Kepner & Hayden Jananthan, MIT Press, Jun 2018
- Foreword by Charles Leiserson, Preface, About the Authors, About the Cover, Acknowledgments (12 pages, 3 figures)
- Part I: APPLICATIONS AND PRACTICE
- Chapter 1 - Introduction and Overview (12 pages, 11 figures, 10 exercises, 12 references)
- Chapter 2 - Perspectives on Data (13 pages, 8 figures, 11 exercises, 55 references)
- Chapter 3 - Dynamic Distributed Dimensional Data Model (17 pages, 9 figures, 4 exercises, 58 references)
- Chapter 5 - Associative Arrays and Abstract Art (10 pages, 12 figures, 7 exercises, 9 references)
- Chapter 6 - Manipulating Graphs with Matrices (28 pages, 12 figures, 14 exercises, 58 references)
- Chapter 7 - Graph Analysis and Machine Learning Systems (26 pages, 20 figures, 10 exercises, 43 references)
- Part II: MATHEMATICAL FOUNDATIONS
- Chapter 8 - Visualizing the Algebra of Associative Arrays (18 pages, 10 figures, 11 exercises, 33 references)
- Chapter 9 - Defining the Algebra of Associative Arrays (21 pages, 4 figures, 8 exercises, 13 references)
- Chapter 10 - Structural Properties of Associative Arrays (37 pages, 17 theorems, 23 exercises, 15 references)
- Chapter 11 - Graph Construction and Graphical Patterns (32 pages, 10 figures, 11 exercises, 26 references)
- Part III: LINEAR SYSTEMS
- Chapter 12 - Survey of Common Transformations (29 pages, 4 figures, 39 diagrams, 6 exercises, 10 references)
- Chapter 13 - Maps and Bases (18 pages, 6 theorems, 12 exercises, 18 references)
- Chapter 14 - Linearity of Associative Arrays (26 pages, 20 theorems, 14 exercises, 13 references)
- Chapter 15 - Eigenvalues and Eigenvectors (35 pages, 22 theorems, 12 exercises, 7 references)
- Chapter 16 - Higher Dimensions (14 pages, 5 exercises, 10 references)
- Appendix: Notation (8 pages)
- Index (6 pages)
- Online solutions to 63 selected exercises
- Instructor solutions to all exercises (54 pages)
On Large-Scale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Jeremy Kepner, IPDPS Workshops, May 2018, Vancouver, Canada
Design, Generation, and Validation of Extreme Scale Power-Law Graphs, Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoff Sanders, Charles Yee, Albert Reuther, IPDPS Workshops, May 2018, Vancouver, Canada
MIT SuperCloud for AI Algorithm Development, Vijay Gadepally, Lauren Milechin, Patrick Brown, Sam Elder, Kritkorn Karntikoon, Jingzhao Zhang, MIT Quest for Intelligence - Launch, Mar 2018, Cambridge, MA
Enabling Massive Deep Neural Networks with the GraphBLAS.org Standard, Jeremy Kepner, Vijay Gadepally, Manoj Kumar, Jos Moreira, Pratap Pattnaik, Mauricio Serrano, Henry Tuf, MIT Quest for Intelligence - Launch, Mar 2018, Cambridge, MA
Polystore Mathematics of Relational Algebra, Hayden Jananthan, Ziqi Zhou, Vijay Gadepally, Dylan Hutchison, Suna Kim, Jeremy Kepner, IEEE Big Data, Dec 2018, Boston, MA
Linear Systems over Join-Blank Algebras, Hayden Jananthan, Suna Kim, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Nov 2017, Cambridge, MA
Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE Big Data conference, Dec 2017, Boston, MA
Streaming Graph Challenge: Stochastic Block Partition, Edward Kao, Vijay Gadepally, Michael Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Smith, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs, Siddharth Samsi, Brian Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Static Graph Challenge: Subgraph Isomorphism, Siddharth Samsi, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Smith, William Song, Diane Staheli, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Enabling Massive Deep Neural Networks with the GraphBLAS, Jeremy Kepner, Manoj Kumar, Jose Moreira, Pratap Pattnaik, Mauricio Serrano, Henry Tufo, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2017, Waltham, MA
Convergence of Machine Learning, Big Data, and Supercomputing, J. Kepner, Keynote Talk, DOE Computational Science Graduate Fellows Annual Meeting, Jul 2017
Learning Machines, Profile, DEIXIS Magazine, Jul 2017
Convergence of Machine Learning, Big Data, and Supercomputing, J. Kepner, Invited Talk presented at:
- IEEE HPEC, Sep 2017, Waltham, MA
- Aerospace Corporation, Aug 2017, El Segundo, CA
- University of Southern California, Aug 2017, Los Angeles, CA
- NASA JPL, Aug 2017, Pasadena, CA
- Pomona College, Aug 2017, Claremont, CA
- UC Santa Barbara, Aug 2017, Santa Barbara, CA
- Columbia University, Jul 2017, New York, NY
- MIT CRIBB Seminar, Jul 2017, Cambridge, MA
- Wellesley University, Apr 2017, Wellesley, MA
- Harvard University, Apr 2017, Wellesley, MA
Constructing Adjacency Arrays from Incidence Arrays, Hayden Jananthan, Karia Dibert, Jeremy Kepner, IEEE IPDPS, May 2017
SIAM Data Mining Brings It to Annual Meeting, Jeremy Kepner, Vijay N Gadepally, Benjamin A Miller, Rajmonda S Caceres, Sanjukta Bhowmich, Aydin Buluc, Jordan Crouser, Jennifer Webster, SIAM News, Feb 2017
Resilience of Cyber Systems with Over and Underregulation, Viktoria Gisladottir, Alexander A Ganin, Jeffrey M Keisler, Jeremy Kepner, Igor Linkov, Risk Analysis, Dec 2016
Non-Negative Matrix Factorization Test Cases, Connor Sell, Jeremy Kepner, IEEE MIT Undergraduate Research Conference, Nov 2016, Cambridge, MA
Mathematical Foundations of the GraphBLAS, Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluc, Franz Franchetti, John Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Jose Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy Mattson, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Associative Array Model of SQL, NoSQL, and NewSQL Databases, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy Mattson, Siddharth Samsi, Albert Reuther, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jananthan, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2016, Waltham, MA
Large Enforced Sparse Non-Negative Matrix Factorization, Brendan Gavin, Vijay Gadepally, Jeremy Kepner, IPDPS 2016 Graph Algorithms Building Blocks (GABB) workshop, April 2016, Chicago, IL
Sparse Non-Negative Matrix Factorization for Big Data Topic Modeling, Brendan Gavin, Vijay Gadepally, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA
Algebra, Triangles and Line Graphs, Jaroor Modi, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, North East Database Day (NEDB), Jan 2016, Cambridge, MA
Percolation Model of insider threats to assess the optimum number of rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Environment Systems and Decisions, Volume 35, Issue 4, pp 504-510, Dec 2015
Algebraic Conditions for Generating Accurate Adjacency Arrays, Karia Dibert, Hayden Jansen, Jeremy Kepner, IEEE MIT Undergraduate Research Technology Conference, Nov 2015
High Performance Computing of Gene Regulatory Networks using a Message-Passing Model, Kimberly Glass, John Quackenbush, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics, Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Using a Power Law Distribution to Describe Big Data, Vijay Gadepally, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Tutorial: Mathematics of Big Data, Jeremy Kepner, Hayden Jansen, IEEE High Performance Extreme Computing (HPEC) conference, Sep 2015, Waltham, MA
Graphulo: Graph Analytics in GraphBLAS, Vijay Gadepally, Dylan Hutchison, Jeremy Kepner, GraphEx Workshop, Jul 2015, Dedham, MA
Building Blocks for Graph Algorithms in the Language of Linear Algebra, John R. Gilbert, David Bader, Aydin Buluc, Jeremy Kepner, Tim Mattson, Henning Meyerhenke, CIMI Workshop on Innovative Clustering Methods, Jul 2015, Toulouse, France
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons, Jeremy Kepner, David Bade, Aydin Buluc, John Gilbert, Timothy Mattson, Henning Meyerhenke, International Conference on Computational Science, Procedia Computer Science, 51, 2453-2462, Jun 2015, Reykavik, Iceland
Percolation Model of Insider Threats to Assess the Optimum Number of Rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, Cyber & Netcentric Workshop, Jun 2015, Lexington, MA
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases, Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchinson, Jeremy Kepner, Ben Miller, IPDPS Graph Algorithms Building Blocks, Apr 2015, Hyderabad, India
Percolation Model of Insider Threats to Assess the Optimum Number of Rules, Jeremy Kepner, Vijay Gadepally, Pete Michaleas, MIT Sloan School, Apr 2015, Lexington, MA
Rapid Sequence Identification of Potential Pathogens Using Techniques from Sparse Linear Algebra, Stephanie Dodson, Darrell O. Ricke, Jeremy Kepner, Nelson Chiu, Anna Shcherbina, IEEE HST, Apr 2015, Waltham, MA
Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs, Jeremy Kepner, Julian Chaidez, Vijay Gadepally, Hayden Jansen, New England Database Day (NEDB), Jan 2015, Cambridge, MA
Using a Big Data Database to Identify Pathogens in Protein Data Space, Ashley Mae Conard, Stephanie Dodson, Jeremy Kepner, Darrell Ricke, New England Database Day (NEDB), Jan 2015, Cambridge, MA
Accelerating Big Bio Data Analytics with the MIT SuperCloud, Stephanie Dodson, Darrell Ricke, Ashley Conard, Vijay Gadepally, Albert Reuther, Mayank Varia, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Dana-Farber Institute Center for Cancer Computational Biology Seminar Series, Dec 2014, Boston, MA
The Graph BLAS: building blocks for graph algorithms in the language of linear algebra, Aydin Buluc, David Bader, John Gilbert, Joseph Gonzalez, Jeremy Kepner, Tim Mattson, High-performance Graph Algorithms and Applications in Computational Science, Nov 2014, Schloss Dagstuhl
Genetic Sequence Matching Using D4M Big Data Approaches [Best Paper Award], Stephanie Dodson, Darrell O. Ricke, Jeremy Kepner, IEEE HPEC, Sep 2014, Waltham, MA
The GraphBLAS Standard Effort, Jeremy Kepner, David Bader, Aydin Buluc, John Gilbert, Joseph Gonzalez, Tim Mattson, GraphEx Workshop, Aug 2014, Dedham, MA
Accelerating Big Bio Data Analytics with the MIT SuperCloud, Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, AstraZenca Seminar, Aug 2014, Waltham, MA
The Graph BLAS effort and its implications for Exascale, David Bader, Aydin Buluc, John Gilbert, Joseph Gonzalez, Jeremy Kepner, Tim Mattson, SIAM workshop on Exascale Applied Mathematics Challenges and Opportunities, Jul 2014, Chicago, IL
The Abstract Algebra of Big Data and Associative Arrays, Jeremy Kepner & Julian Chaidez, SIAM Meeting on Discrete Math, Jun 2014, Minneapolis, MN
Adjacency Matrices, Incidence Matrices, Database Schemas, and Associative Arrays, Jeremy Kepner & Vijay Gadepally, Graph Algorithm Building Blocks Workshop, IPDPS, May 2014, Pheonix, AZ
Analyzing Bio Big Data using the MIT SuperCloud, Jeremy Kepner, Stephanie Dodson, Darrell Ricke, Vijay Gadepally, Pete Michaleas, Albert Reuther, Mayank Varia, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Chuck Yee, Harvard Biostatistics Big Data Seminar, Mar 3, 2014, Boston, MA
The Abstract Algebra of Big Data, Jeremy Kepner & Julian Chaidez, Union College Mathematics Conference, Oct 2013, Schenectady, NY
Creation and Implementation of D4M Algorithm for Protein Analysis, Ashley Conard, Jeremy Kepner, Darrell Ricke, Stephanie Dodson, Opportunities for Undergraduate Research in CS, Oct 18, 2013, Pittsburgh, PA
Taming Biological Big Data with D4M Jeremy Kepner, Darrell O. Ricke & Dylan Hutchison, MIT Lincoln Laboratory Journal, Fall 2013
Comparing D4M Genetic Sequence Analysis with BLAST, Stephanie Dodson, Jeremy Kepner, Darrell Ricke, Ashley Conard, Women in Mathematics in New England, Sep 21, 2013, Northampton, MA
Standards for Graph Algorithm Primitives [Paper] Tim Mattson (Intel Corporation), David Bader (Georgia Institute of Technology), Jon Berry (Sandia National Laboratory), Aydin Buluc (Lawrence Berkeley National Laboratory), Jack Dongarra (University of Tennessee), Christos Faloutsos (Carnegie Melon University), John Feo (Pacific Northwest National Laboratory), John Gilbert (University of California at Santa Barbara), Joseph Gonzalez (University of California at Berkeley), Bruce Hendrickson (Sandia National Laboratory), Jeremy Kepner (Massachusetts Institute of Technology), Charles Leiserson (Massachusetts Institute of Technology), Andrew Lumsdaine (Indiana University), David Padua (University of Illinois at Urbana-Champaign), Stephen Poole (Oak Ridge National Laboratory), Steve Reinhardt (Cray Corporation), Mike Stonebraker (Massachusetts Institute of Technology), Steve Wallach (Convey Corporation), Andrew Yoo (Lawrence Livermore National Laboratory), IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA
Novel Algebras for Advanced Analytics in Julia [Paper] Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner, IEEE High Performance Extreme Computing (HPEC) conference, Sep 10-12, 2013, Waltham, MA
Transforming Bioinformatics Data with D4M Accumulo Jeremy Kepner & Darrell O. Ricke, Keynote: Applied Pharmaceutical Software Conference, June 11, 2013, Cambridge, MA
The Role of Linear Algebra in the Computer Science Curriculum, Jeremy Kepner (MIT)[chair], Tim Davis (University of Florida), James Demmel (UC Berkeley), Alan Edelman (MIT), Howard Elman (University of Maryland), John Gilbert (UC Santa Barbara), Michael Heath (University of Illinois), Dianne O'Leary (University of Maryland), Michael Overton (NYU), Yousef Saad (University of Minnesota), Ahmed Sameh (Purdue), Michael Stonebraker (MIT), Gilbert Strang (MIT), Robert van de Geijn (University of Texas), Charles Van Loan (Cornell), Margaret Wright (NYU) Submitted to 2013 ACM/IEEE-CS Computer Science Curricula Joint Task Force
Secure Verifiable Queries: Pedigree Preserving Analytics via Associative Array Algebra, Jeremy Kepner, MIT Lincoln Laboratory Cyber Networking Workshop, June 25, 2013, Lexington, MA
Dynamic Distributed Dimensional Data Model (D4M), Jeremy Kepner, MIT Lincoln Laboratory Advanced Research and Technology Symposium (ARTS), May 5, 2013, Cambridge, MA
A Scalable Signal Processing Architecture for Massive Graph Analysis, B.A. Miller, N. Arcolano, M.S. Beard, N.T. Bliss, J. Kepner, M.C. Schmidt & P.J. Wolfe, ICASSP (International Conference on Acoustics, Speech, and Signal Processing), Special session on Signal and Information Processing for "Big Data" (organizers: Bliss & Wolfe), March 25-30, 2012, Kyoto, Japan
Dynamic Distributed Dimensional Data Model (D4M) R & D 100 Nomination, Jeremy Kepner, R & D Magazine March 15, 2013, Rockaway, NJ
Large Data Analysis using the Dynamic Distributed Dimensional Data Model (D4M), Jeremy Kepner & Christian Anderson, SIAM Conference on Computational Science and Engineering, March 1, 2013, Boston, MA
Transforming Big Data with D4M, [Slides], [Video], New England Database Summit & MIT CRIBB Seminar, February 1, 2013, Cambridge, MA
Graphs, Sparse Matrices, SciDB, Scott Sawyer & Jeremy Kepner, Intel Science & Technology Center for Big Data, Annual Meeting, Jan 28, Santa Clara, CA
Signal Processing on Databases, Jeremy Kepner, Course given at MIT Lincoln Laboratory, Lexington, MA
- Lecture 0: Introduction, October 3, 2013
- Lecture 1: Using Associative Arrays, October 10, 2013
- Lecture 2: Group Theory: Spreadsheets, Big Tables, and the Algebra of Associative Arrays October 17, 2013
- Lecture 3: Entity Analysis in Unstructured Data, October 24, 2013
- Lecture 4: Analysis of Structured Data, November 14, 2013
- Lecture 5: Perfect Power Law Graphs: Generation, Sampling, Construction, and Fitting, October 31, 2013
- Lecture 6: Bio Sequence Cross Correlation, November 29, 2013
- Lecture 7: Kronecker Graphs, Data Generation, and Performance, December 12, 2013
- Database Demonstration, December 5, 2013
Perfect Power Law Graphs: Generation, Sampling, Construction and Fitting, [Abstract] [Presentation], Jeremy Kepner, SIAM Annual Meeting, July 9-13, 2012, Minneapolis, Minnesota
Massive Graphs: Big Compute meets Big Data, Jeremy Kepner, David Bader & John Gilbert (co-organizers), Minisymposium at SIAM Annual Meeting, July 9-13, 2012, Minneapolis, Minnesota
Spreadsheets, Big Tables, and the Algebra of Associative Arrays, Jeremy Kepner, MAA & AMS Joint Mathematics Meeting, SIAM Minisymposium on Applied, Computational and Discrete Mathematics at National Laboratories and Federal Research Agencies (organizers: Vese & Nasheed), Jan 4-7, 2012, Boston, MA
A Biomedical-Engineering Approach to the Random and Systematic Errors of Diagnostic Prostate Biopsy, H. Ahmed, M. Emberton, G. Kepner & J. Kepner, Nature Reviews Urology 9, 227-231 (April 2012)
Graph Algorithms in the Language of Linear Algebra J. Kepner & J. Gilbert, SIAM Press, 2011.
- Contents [FREE]
- Preface [FREE]
- Graphs and Matrices J. Kepner
- Linear Algebraic Notation and Definitions E. Robinson, J. Kepner & J. Gilbert
- Connected Components and Minimum Paths C. M. Rader
- Some Graph Algorithms in an Array-Based Language V. B. Shah, J. Gilbert & S. Reinhardt
- Fundamental Graph Algorithms J. T. Fineman & E. Robinson
- Complex Graph Algorithms E. Robinson
- Multilinear Algebra for Analyzing Data with Multiple Linkages D. Dunlavy, T. Kolda & W. P. Kegelmeyer
- Subgraph Detection J. Kepner
- Kronecker Graphs J. Leskovec
- The Kronecker Theory of Power Law Graphs J. Kepner
- Visualizing Large Kronecker Graphs H. Nguyen, J. Kepner & A. Edelman
- Large-Scale Network Analysis D. A. Bader, C. Heitsch & K. Madduri
- Implementing Sparse Matrices for Graph Algorithms A. Buluc, J. Gilbert & V. B. Shah
- New Ideas in Sparse Matrix Matrix Multiplication A. Buluc & J. Gilbert
- Parallel Mapping of Sparse Computations E. Robinson, N. Bliss & S. Mohindra
- Fundamental Questions in the Analysis of Large Graphs J. Kepner, D. A. Bader, B. Bond, N. Bliss, C. Faloutsos, B. Hendrickson, J. Gilbert & E. Robinson
- Index [FREE]
Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies, G. Kepner & J. Kepner, Theoretical Biology and Medical Modeling, 2010 Jun 17;7:23
Sub-Graph Detection, J. Kepner, Graph Exploitation Symposium, April 13-14, 2010, Nedham, MA
Automatic registration of LIDAR and optical images of urban scenes, A. Mastin, J. Kepner & J. Fisher III, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, FL
Graph Detection Theory for Power Law Graphs, J. Kepner, N. Bliss & E. Robinson, SIAM Annual Meeting 2009, Minisymposium on High Performance Computing on Massive Real-World Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), July 6-10, 2009, Denver, CO
Language, Dialect, and Speaker Recognition Using Gaussian Mixture Models on the Cell Processor[Best Paper Award Finalist] [Abstract] [PowerPoint] [PDF], N. Malyska, S. Mohindra, D. Reynolds & J. Kepner HPEC Workshop, 2008, Sep 23-25, Lexington, MA
Linear Algebraic Graph Algorithms for Back End Processing [Abstract] [PowerPoint] [PDF], J. Kepner, N. Bliss & E. Robinson, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
Theory of Multicore Algorithms [Abstract] [PowerPoint] [PDF] [Top 5%], J. Kepner & N. Bliss, HPEC Workshop, 2008, Sep 23-25, Lexington, MA
Analytic Theory of Power Law Graphs, J. Kepner, SIAM Parallel Processing 2008, Minisymposium on HPC on Large Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), March 12-14, 2008, Atlanta, GA
Array Based Betweenness Centrality, E. Robinson & J. Kepner, SIAM Parallel Processing 2008, Minisymposium on HPC on Large Graphs, (organizers D. Bader, J. Gilbert & J. Kepner), March 12-14, 2008, Atlanta, GA
Cluster Detection in Databases: The Adaptive Matched Filter Algorithm and Implementation, J. Kepner and R. Kim, 2002 Data Mining and Knowledge Discovery, Vol 7, No 1
The Alignment Effect of Brightest Cluster Galaxies in the SDSS, with R. Kim et al, in "Where's the Matter? Tracing Dark and Bright Matter with the New Generation of Large Scale Surveys", June 2001, Treyer & Tresse Eds, Frontier Group.
Detecting Clusters of Galaxies in the Sloan Digital Sky Survey. I. Monte Carlo Comparison of Cluster Detection Algorithms, with R. Kim et al, 2002 Astronomical Journal, Vol 123, pages 20-36
Exploiting VSIPL and OpenMP for Parallel Image Processing, J. Kepner, November 12-15, 2000, Boston, MA Astronomical Data Analysis Software and Systems X (ADASS), ASP Conference Proceedings, Vol. 238. Edited by F. R. Harnden, Jr., Francis A. Primini, and Harry E. Payne. San Francisco: Astronomical Society of the Pacific, ISSN: 1080-7926, 2001., p.209
The Vector, Signal, and Image Processing Library (VSIPL): an Open Standard for Astronomical Data Processing, J. Kepner, J. Lebak, R. Janka and M. Richards, 2000 Bulletin of the American Astronomical Society, 195, #82.11
Clusters of Galaxies in the Sloan Digital Sky Survey, with R. Kim, M. Strauss, M. Postman, N. Bahcall, J. Gunn, R. Lupton, W. Voges, M. Vogeley and the SDSS Collaboration, 2000 Bulletin of the American Astronomical Society, 195, #30.03
Clusters of Galaxies in the Sloan Digital Sky Survey, with R. Kim, M. Strauss, N. Bahcall, J. Gunn, R. Lupton, D. Schlegel and the SDSS Collaboration, 1999 Bulletin of the American Astronomical Society, 194, #88.01
Absorption Line Signatures of Gas in Mini Dark Matter Halos, J. Kepner, T. Tripp, D. Spergel & T. Abel, 1999 Astronomical Journal 117, 2063
An Automated Cluster Finder: the Adaptive Matched Filter, J. Kepner, X. Fan, N. Bahcall, J. Gunn, R. Lupton & G. Xu, 1999 Astrophysical Journal 517, 78
Simulating Galaxy Formation, with Greg Bryan, 19th Texas Symposium on Relativistic Astrophysics and Cosmology, held in Paris, France, Dec. 14-18, 1998. Eds.: J. Paul, T. Montmerle, and E. Aubourg (CEA Saclay).
Absorption Line Signatures of Delayed Dwarfs, J. Kepner, T. Abel, T. Tripp & D. Spergel, 1998 Bulletin of the American Astronomical Society, 191, #84.09
Gas Behavior in Galaxy Formation, J. Kepner, Ph.D. Thesis Presentation, Princeton, NJ, April 27, 1998
Inside-out Galaxy Formation, J. Kepner, 1999 Astrophysical Journal 520, 59
The Delayed Formation of Dwarf Galaxies, J. Kepner, A. Babul & D. Spergel, 1997 Astrophysical Journal, 487, 61
A New Statistic for Redshift Surveys: the Redshift Dispersion of Galaxies, J. Kepner, F J Summers & M. Strauss, 1997 New Astronomy, 2, #2, 165
Simulating Plasma Turbulence in Tokamaks, J. Kepner, S. Parker & V. Decyk, (May 1997) SIAM News, 30, #4, 1
Omega from Sigma: Measuring the Cosmological Density with the Redshift Dispersion of Galaxies, J. Kepner, F J Summers & M. Strauss, 1995 Bulletin of the American Astronomical Society, 187, #86.04
Finding Clusters in the SDSS: Derivation of the Generalized Matched Filter, J. Kepner & X. Fan, 1996, SDSS clusters archive #53
Massively Parallel Computing of Turbulent Transport in Tokamaks, J. Kepner, S. Parker & V. Decyk, presented at the International Conference on Parallel Computing, University of Minnesota Supercomputer Institute, October 3-4, 1996.
Radially Global Gyrokinetic Simulation Studies of Transport Barriers, S. E. Parker, H. E. Mynick, M. Artun, J. C. Cummings, V. Decyk, J. Kepner, W. W. Lee, and W. M. Tang, 1996 Physics of Plasmas, 3, #5, 1959-1966
Partially Embedded Young Stellar Aggregates, with Strom, K.M., Strom, S.E., Allen, L., & Gordon, S., 1994 Revista Mexicana Astronomia and Astrofisica, 29, 30
The Stellar Populations within the Rho Oph cloud cores, with Strom, K.M., & Strom, S.E., 1994 Astrophysics & Space Science, 217, 223
Hubble Space Telescope Images of the Subarcsecond Jet in DG Tau, with Hartigan, P., Yang, C., & Strom, S., 1993 Astrophysical Journal Letters, 415, L119
Computation of IRAS Fluxes via a priori Astrometry, with Horowitz, J., & Geman, D. 1993 in "Infrared Astronomy with Arrays: The Next Generation," ed. Ian S. MacLean, Kluwer.
Modeling Astrophysical Disks Using Nearest Neighbor Perturbations, J.Kepner (advisor: Robert Chambers), Senior Honors Thesis for Astrophysics, 1991, Pomona College, Claremont, CA
Comparison of Canonical and Micro-Canonical Sampling Methods in a 2D Ising Model, J.Kepner (advisor: Alexandre Chorin) 1990, Lawrence Berkeley Lab report #LBL-30056.

Places where I have lived and worked:

Eastern Massachusetts
- Massachusetts Institute of Technology Lincoln Laboratory mentors Robert Bond (CTO), David Martinez (IEEE Fellow), and Dr. Ken Senne (IEEE Fellow)
- Massachusetts Institute of Technology Mathematics Department
- Massachusetts Institute of Technology Computer Science and AI Laboratory
Princeton, New Jersey
- Princeton University Department of Astrophysics PhD advisor Prof. David Spergel (National Academy of Sciences)
- Princeton University Program in Applied and Computational Math
- Department of Energy Princeton Plasma Physics Lab advisor Prof. Scott Paker
- National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Lab advisor Dr. Jeffrey Anderson
Western Massachusetts
- University of Massachusetts Astronomy Department advisors Prof. Stephen Strom and Karen Strom
- University of Massachusetts Department of Mathematics and Statistics advisors Prof. Don Geman (SIAM Fellow) and Prof. Joseph Horowitz
- Smith College Astronomy Department advisor Prof. Suzan Edwards
- DataViews Corporation advisor Donald Beaudry
California
- Department of Energy Lawrence Berkeley Lab advisor Prof. Alexandre Chorin (National Academy of Sciences; AAAS Fellow; SIAM Fellow)
- My alma matter Pomona College Astronomy Department advisor Prof. Robert Chambers
- The Aerospace Corporation advisor Dr. John Hackwell (Aerospace Corporation Fellow)
Minnesota
- University of Minnesota Mechanical Engineering Department advisor Prof. Art Erdman (Director Medical Devices Center)
- The Collaborative advisors Dan Carr (President & CEO) and Brett R. Johnson (Co-founder)
- St. Anthony Village High School teachers: Ruth Westrom (English), Maurice Hugill (Math), Don Dennison (Biology), James Doonan (History), Gordon Zeibarth (Physics), Don Larson (Chemistry), Rojer Bjorklund (Music), James Wilke (Music), Mark Gautschi (Basketball), Scott Paulus (Basketball)

Dr. Jeremy Kepner (Supercomputing Center Head & Founder)

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Students I have been fortunate to work with

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Google Scholar Citation Pages: Jeremy Kepner, LLSC, AI Accelerator

Places where I have lived and worked:

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