New York University Faculty of Arts and Science College of Arts and Science Graduate School of Arts and Science

Parallel Computing with MATLAB Webinar

MathWorks free webinar on October 14th at 2:00 p.m. EDT.

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Parallel Computing with MATLAB
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In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and run them on multiple processors. We will show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data. We will also illustrate how you can run the same application on a single machine using the Parallel Computing Toolbox and on a large scale computing resource such as a cluster, using the MATLAB Distributed Computing Server.

This session will cover:

  • - Toolboxes with built-in support for parallel computing
  • - Creating parallel applications to speed up independent tasks
  • - Programming with distributed arrays to work with large data sets
  • - Scaling up to computer clusters, grid environments or clouds

Register for this webinar.