MIT: Independent Activities Period: IAP

IAP 2013

MathWorks: Parallel and GPU Computing with MATLAB

James Cain, Manager - Experimental Learning Environments, OEIT

Jan/29 Tue 10:00AM-12:00PM 4-163

Enrollment: Register at link below
Limited to 85 participants

Parallel Computing Toolbox lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—let you parallelize MATLAB applications without CUDA or MPI programming.

In this session, you’ll learn how to solve and boost the execution speed of computationally intensive problems using multicore processors, GPUs, and computer clusters. We introduce and demonstrate high-level programming constructs that allow you to create parallel MATLAB applications without low-level programming.

Highlights include:

Exploring toolboxes with built-in algorithms for parallel computing

Creating parallel applications to speed up independent tasks

Scaling up to computer clusters, grid environments, or clouds

Employing GPUs to speed up your computations


MathWorks at MIT IAP 2013

MathWorks is hosting six sessions during MIT's Independent Activities Period (IAP) 2013. Join us to learn how you can use MATLAB and Simulink for technical computing and application development in engineering, math, and science. Attend as many sessions as you like.


Please visit the following URL for more information and to register for this session:

Sponsor(s): Office of Educational Innovation and Technology, Electrical Engineering and Computer Science
Contact: Heather Wellman,