James Cain, Manager - Experimental Learning Environments, OEIT
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.
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, Heather.Wellman@mathworks.com