SEMINAR: Matlab Tutorial this Wednesday, Nov 2 at 9:00

[Grant Basham <gbasham@rsmas.miami.edu>]

Tom McHugh is bring another Matlab seminar to RSMAS this Wednesday. Nov 
2, at 9am (register 8:45), in the SLAB seminar.  Matlab users at RSMAS 
and NOAA seem to have found the earlier tutorials in the series to be 
valuable.

====== from Tom McHugh ==============================================
Good morning. I am writing to inform you that the MathWorks will be 
visiting the University of Miami for two complementary MATLAB seminars 
presented by Brett Shoelson, Ph.D., Principal Application Engineer, 
MathWorks. The sessions are intended for faculty, staff, researchers, 
and students on Wednesday Nov. 2^nd at 9am & 2pm. I hope you received 
the invitation and will be able to join us. If not, below is a copy.
Please forward to anyone you feel would be interested in learning more 
about MATLAB. Please contact me with any questions.

========= *_Morning_*  RSMAS Campus =========================

Time*: 9am - 12noon * (8:45a.m.Registration and sign in)**

Title*: Analyzing Data Faster Using MATLAB and Parallel Computing*

Location*: University of Miami, Rosenstiel School of Marine and 
Atmospheric Science - SLAB Seminar Room*

Campus map http://www.rsmas.miami.edu/about-rsmas/campus-maps/

**

To learn more or to register for this seminar at
www.mathworks.com/seminars/um2011 <http://www.mathworks.com/seminars/um2011>

_Overview_

In this session we will discuss and demonstrate simple ways to improve 
and optimize your code that can significantly boost execution speed. We 
will also address common pitfalls in writing m-code, and explore the use 
of the MATLAB Profiler to find coding bottlenecks. We then introduce our 
Parallel Computing Toolbox and Distributed Computing Server to solve 
computationally and data-intensive problems on multicore computers, 
GPUs, and clusters.

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

*GPU programming

*Scaling to a cluster

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Please forward this invitation to any colleagues who may be interested 
in this event.

We hope you can join us. Please contact me with any questions at
508-647-7657 or tom.mchugh@mathworks.com.

Sincerely,

Tom

Tom McHugh

Account Manager

MathWorks

Phone: 508-647-7657

Fax: 508-652-6741

Email: tmchugh@mathworks.com <mailto:tmchugh@mathworks.com>



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