MatLAB Seminars at Perry Library 10/24

Please join MathWorks for free MATLAB seminars on Wednesday, October 24th in the Learning Commons @ Perry Library Conference Room (Room 1310-1311).


MATLAB Seminars at Old Dominion University



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Adam Filion, MathWorks Application Engineer


Session 1:  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




Session 2:  1:00 p.m. - 3:00 p.m.

Speeding Up MATLAB Applications

In this session we will discuss and demonstrate simple ways to improve and optimize your code that can boost execution speed by orders of magnitude.  We will also address common pitfalls in writing MATLAB code and explore the use of tools such as MATLAB Profiler to find bottlenecks and improve performance.


This session will also include a presentation by Ruben Igloria from the ODU OCCS High Performance Computing Center.  Ruben will discuss the new cluster available for the ODU community which includes the MATLAB Distributed Computing Server and how users can take advantage of this resource.


Highlights include:


·            Understand memory usage and vectorization in MATLAB

·            Address bottlenecks in your programs

·            Optimize file I/O to streamline your code

·            Transition from serial to parallel MATLAB programs



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We hope you can join us. Please contact me with any questions at




Scott Benway


Posted By: David Hamel
Date: Thu Oct 11 14:07:28 EDT 2012