Parallel Computing with MATLAB

Please join MathWorks for a free MATLAB seminar on Wednesday, August 26th at the University Club, Conference Room A from 10:00 a.m. to 12:00 p.m. This session is open to all Pitt faculty, students, and staff.

Register for this seminar at

Presenter: Sean de Wolski, MathWorks Application Engineer

10:00 a.m. – 12:00 p.m. | Parallel Computing with MATLAB
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 also 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.

Highlights include:

  • 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
  • Tips on developing parallel algorithms

Please contact Scott Benway at with any questions.