[BIC-announce] (forw) Parallel Computing with MATLAB at McGill University

Fri Apr 8 13:56:37 EDT 2011

Some folks might be interested in this.
Otherwize, sorry for the noise! 

jf

----- Forwarded message from MathWorks <seminars at em.mathworks.com> -----

Join MathWorks for free seminars on MATLAB on Thursday, April 28, 2011 in the Ernest Rutherford Physics Building, Bell Conference Room ??? Room 103.

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Parallel Computing with MATLAB at McGill University
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Register for these seminars at:
http://click.em.mathworks.com/?qs=99f75644e736c0406683786544c049dc154918a78d927240525bd5f610e25dab3d18a70547158abd

Presenter: Saket Kharsikar, Application Engineer

8:45 ??? 9:00 a.m.
Registration and sign-in. Walk-ins are welcome.

9:00 ??? 10:30 a.m.
Session 1: Parallel Computing with MATLAB

In this session, you will learn how to solve computationally and data-intensive problems using multicore processors and computer clusters.  We will introduce you to high-level programming constructs that allow you to parallelize applications to boost your execution speed.  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 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
???	Tips on developing parallel algorithms 

10:30 a.m. ??? 12:00 p.m.
Session 2: Handling Large Data Sets

This seminar will describe strategies for handling large amounts of data in MATLAB and avoiding "out-of-memory" errors. It will provide you with an understanding of the causes of memory limitations in MATLAB and a set of techniques to increase the available memory in MATLAB. It will also show techniques for minimizing memory usage in MATLAB while accessing, storing, processing, and plotting data.  Additionally, accessing memory across multiple systems using parallel computing will be explored.
???	Understanding memory and its constraints
???	Minimizing your memory footprint in MATLAB
???	Accessing memory across multiple systems

Register for these seminars at:
http://click.em.mathworks.com/?qs=99f75644e736c0406683786544c049dc154918a78d927240525bd5f610e25dab3d18a70547158abd

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Please forward this invitation to any colleagues who may be interested in this event.
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We hope you can join us. Please contact me with any questions at 508-647-7274 or bryan.zocco at mathworks.com.

Sincerely,

Bryan Zocco
Account Manager, Education Department
MathWorks

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----- End forwarded message -----

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