REGISTRATION

To attend YArch please use this Whova link to register:

• For in-person attendance: Register for the "Tuesday Workshops". This will only give you access to the Tuesday workshops. You can additionally register for ASPLOS from the same page.
• For remote attendance: Register for the "ASPLOS remote" option which will give you access to the entire ASPLOS program.

PROGRAM

Time (EST)	Time (CET)	Event
3:45-4:00am	9:45-10:00am	Opening & Introduction
4:00-5:00am	10:00-11:00am	Keynote 1: The Road Less Traveled and the Lessons Learned Along the Way Speaker: Lisa Wu Wills (In-person)
5:00-5:30am	11:00-11:30am	Coffee Break
5:30-7:00am	11:30-1:00pm	Panel: Demystifying Grad School Panelist: Elba Garza, Abdulrahman Mahmoud, Boris Grot, Grant Ayers, Timothy Roscoe
7:00-8:15am	1:00-2:15pm	Lunch
8:15-9:00am	2:15-3:00pm	Lightning Talks
9:00-10:00am	3:00-4:00pm	Keynote 2: My Journey to Creating a Successful Career in Academia Speaker: R. Iris Bahar (Virtual)
10:00-10:15am	4:00-4:15pm	Closing Remarks
10:15-10:30am	4:15-4:30pm	Coffee Break
10:30-11:30am	4:30-5:30pm	Poster Session (In-person)
12:00-1:00pm	6:00-7:00pm	Poster Session (Virtual, GatherTown)

Keynote 1: The Road Less Traveled and the Lessons Learned Along the Way (Recording)

Speaker: Lisa Wu Wills (Duke University)

Abstract: As a young architect, you are probably starting to think about your career path after you get your PhD. I spent a significant amount of time in industry before deciding to embark on a career 2.0 in academia. In this talk, I will tell you my story, the choices I made, and the lessons I learned along the way. I hope this will inspire you to do great things in either industry or academia.

Bio: Lisa Wu Wills is the Clare Boothe Luce Assistant Professor of Computer Science and ECE at Duke University. Prior to Duke, she was a postdoctoral researcher at the University of California, Berkeley and a research scientist at Intel Labs. Her research interests include computer architecture and microarchitecture, hardware acceleration, hardware-software co-design, emerging applications in big data such as database and graph analytics, healthcare such as genomics analytics, and artificial intelligence such as natural language processing for drug discovery. Wills has a PhD in computer science from Columbia University, a MS in computer science and engineering from the University of Michigan, Ann Arbor, and a BS in computer engineering from the University of Illinois, Urbana-Champaign. She has received an NSF CAREER award, three IEEE Micro Top Picks, and a MICRO best paper award.

Keynote 2: My Journey to Creating a Successful Career in Academia

Speaker: R. Iris Bahar (Colorado School of Mines)

Abstract: Career paths are generally not linear in their progression. We have successes along the way, but setbacks as well. Within the world of academia, as scholars and teachers we are constantly having to reinvent ourselves to stay current. In addition, it is not uncommon to start off with some career goal in mind and then find ourselves re-evaluating, re-calibrating, and re-directing somewhere along the way. In this talk, I will discuss some of my experience establishing myself within my research field and in academia more generally and important lessons I learned (and am still learning) along the way.

Bio: R. Iris Bahar received the B.S. and M.S. degrees in computer engineering from the University of Illinois, Urbana-Champaign, and the Ph.D. degree in electrical and computer engineering from the University of Colorado, Boulder. She recently joined the faculty at the Colorado School of Mines in January 2022 and serves at Department Head of Computer Science. Before joining Mines, she was on the faculty at Brown University since 1996 and held dual appointments as Professor of Engineering and Professor of Computer Science. Her research interests have centered on energy-efficient and reliable computing, from the system level to device level. Most recently, this includes the design of robotic systems. She served as the Program Chair and General Chair of the International Conference on Computer-Aided Design (ICCAD) in 2017, 2018 respectively and the General Chair of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) in 2019. She is the 2019 recipient of the Marie R. Pistilli Women in Engineering Achievement Award and the 2019 Brown University School of Engineering Award for Excellence in Teaching in Engineering. She is a fellow of the IEEE and an ACM Distinguished Scientist.

Panel: Demystifying Grad School

Panelist: Elba Garza (Texas A&M University)

Elba Garza is a final-year Computer Science PhD student at Texas A&M University working under Daniel A. Jiménez. Her work focuses on making hardware predictive structures & policies (e.g., branch prediction, prefetching, cache replacement) more resilient to evolving computing demands. She holds a BSc in Computer Science from Columbia University, and an MSc in the same from Princeton University. After returning to graduate school for her PhD and seeing fellow graduate students struggle with mental health issues arising from the general toll of academic life, she helped co-found the Computer Architecture Student Association, or CASA. CASA is an independent student-run organization with the express purpose of developing and fostering a positive and inviting student community within computer architecture.
Research interests: microarchitecture, caches, prediction.

Panelist: Abdulrahman Mahmoud (Harvard University)

Abdulrahman is a postdoc researcher in computer science at Harvard University, working with Dr. David Brooks and Dr. Gu-Yeon Wei. His research interests are broadly in the areas of computer architecture, machine learning, reliability, and approximate computing. His work focuses on addressing the role hardware errors play on an application’s error tolerance, by designing tools and techniques to help understand how hardware errors propagate and affect software.
Abdulrahman completed his PhD at UIUC under the guidance of Dr. Sarita Adve in the RSim Research Group. During his graduate studies, he was very fortunate to be the recipient of the Mavis Future Faculty Fellowship, to be invited to the 7th Heidelberg Laureate Forum, and to receive multiple awards for teaching and mentoring undergraduate students. He is currently a steering committee member of the Computer Architecture Student Association (CASA), as well as a founding member of the Computer Architecture Long-term Mentoring (CALM) initiative. Prior to joining UIUC, Abdulrahman completed his BSE from Princeton University, where he was the recipient of the John Ogden Bigelow Jr. Prize in Electrical Engineering.

Panelist: Boris Grot (University of Edinburgh)

Boris Grot is an Associate Professor in the School of Informatics at the University of Edinburgh, where he leads the EASE Lab. His research focuses on understanding and alleviating efficiency bottlenecks and capability shortcomings of processing platforms for data-intensive applications. He did his PhD at UT-Austin followed by a post-doc at EPFL.
Research interests: CPU and memory systems for servers; Interconnects from chip to datacenter scale; Parallel and distributed computing; Serverless and microservices.

Panelist: Grant Ayers (Google)

Grant's architecture career began with accidentally catching his first computer on fire as a kid, and he is currently a senior software engineer at Google. Grant is interested in microarchitecture and memory system optimization, accelerators, and security. Grant has been in industry for two years since graduating from Stanford, where his research focused on understanding and improving the performance of large workloads like web search. He was a repeat intern at Google and credits the successful collaboration between academia and industry as a key enabler of his work.

Panelist: Timothy Roscoe (ETH Zurich)

Timothy Roscoe is a Full Professor in the Systems Group of the Computer Science Department at ETH Zurich, where he works on operating systems, networks, and distributed systems, and is currently head of department.
Mothy received a PhD in 1995 from the Computer Laboratory of the University of Cambridge, where he was a principal designer and builder of the Nemesis OS. After three years working on web-based collaboration systems at a startup in North Carolina, he joined Sprint's Advanced Technology Lab in Burlingame, California in 1998, working on cloud computing and network monitoring. He joined Intel Research at Berkeley in April 2002 as a principal architect of PlanetLab, an open, shared platform for developing and deploying planetary-scale services. Mothy joined the Computer Science Department ETH Zurich in January 2007, and was named Fellow of the ACM in 2013 for contributions to operating systems and networking research.
His work has included the Barrelfish multikernel research OS, as well as work on distributed stream processors, and using formal specifications to describe the hardware/software interfaces of modern computer systems. Mothy's current research centers on Enzian, a powerful hybrid CPU/FPGA machine designed for research into systems software.

ACCEPTED PAPERS:

• Address-Scaling: Architectural Support for Fine-grained Thread-safe Metadata Management (Lightning)
  Deepanjali Mishra, Vivek Seshadri (Microsoft Research India); Akshitha Sriraman (Carnegie Mellon University/Google)
• Babel: Heterogenous Memory Tagging on ARMv9 with Immutable Security Contexts (Lightning)
  Nathan Rutherford (Royal Holloway, University of London)
• AutoCC: Automatic Discovery of Covert-Channels in Time-Shared Hardware
  Marcelo Orenes-Vera (Princeton University); Nils Wistoff (ETH Zurich); David Wentzlaff, Margaret Martonosi (Princeton University); Gernot Heiser (UNSW Sydney); Luca Benini (ETH Zurich)
• GBA: Guided Branch Approximation (Lightning)
  Keisuke Kamahori, Shinya Takamaeda-Yamazaki (The University of Tokyo)
• Architectural Evaluation of Processing-In-Memory Systems
  Tanner Andrulis (MIT); Joel Emer (MIT/Nvidia); Vivienne Sze (MIT)
• A Dataflow-Aware Fault Resilience Analysis Framework for Deep Neural Network Accelerators
  Jaylen Wang, Abdulrahman Mahmoud, David Brooks (Harvard Univeristy); Gu-Yeon Wei (Harvard University/Samsung)
• Architectural Optimization of Dual Redundancy on Autonomous Systems (Lightning)
  Lin Jia, Rajeev Balasubramonian (University of Utah)
• Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units
  Prabhu Vellaisamy, John Paul Shen (Carnegie Mellon University)
• Designing SGX Applications for Recoverability
  Paul Crews (Stanford University/Google)
• Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design
  Charles Hong (University of California, Berkeley); Qijing Huang (NVIDIA); Yakun Sophia Shao (University of California, Berkeley)
• Swiftcore: Enabling secure and fast userspace accesses to devices
  Sujay Yadalam, Michael Swift (University of Wisconsin-Madison)
• Supply Chain Aware Chip Architecture
  August Ning, Georgios Tziantzioulis, David Wentzlaff, Georgios Tziantzioulis (Princeton University)
• A Communication-centric Dataflow Accelerator for High-Performance Conjugate Gradient (Lightning)
  Raveesh Garg (Georgia Institute of Technology)
• LAMP: A Practical Loop-Aware Memory Dependence Profiler
  Yebin Chon, Ziyang Xu, Zujun Tan, David I. August (Princeton University)
• Understanding Branch Prediction in Data Center Applications
  Muhammed Ugur, Tanvir Ahmed Khan (University of Michigan); Dam Sunwoo, Krishnendra Nathella (Arm Research); Daniel A. Jimenez (Texas A&M University); Baris Kasikci (University of Michigan)
• T-MAC: Temporal Multiplication with Accumulation (Lightning)
  Zhewen Pan, Di Wu, Joshua San Miguel (University of Wisconsin-Madison)
• Accelerating High Performance Computing Applications with Reconfigurable Smart Switches (Lightning)
  Pouya Haghi (Boston University); Cheng Tan, Tong Geng (Pacific Northwest National Laboratory); Anqi Guo, Chunshu Wu (Boston University); Derek Schafer (University of Tennessee at Chattanooga); Ang Li (Pacific Northwest National Laboratory); Anthony Skjellum (University of Tennessee at Chattanooga); Martin Herbordt (Boston University)
• Automatic Detection and Offload of Strands for Near Data Execution (Lightning)
  Shreyas Singh (University of Utah)
• HWC: Profile-Guided BTB Replacement for Data Center Applications (Lightning)
  Shixin Song, Tanvir Ahmed Khan, Sara Mahdizadeh Shahri (University of Michigan); Akshitha Sriraman (Carnegie Mellon University/Google); Heiner Litz (University of California, Santa Cruz); Baris Kasikci (University of Michigan)
• A Content-driven Characterization Study of Protobuf in Data Center Applications
  Hilbert Chen (University of Michigan); Akshitha Sriraman (Carnegie Mellon University/Google); Andrew Quinn (University of California, Santa Cruz)

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