SEMINAR: Matlab Tutorial this Wednesday, Nov 2 at 9:00
|From:||Grant Basham <email@example.com>|
|Subject:||SEMINAR: Matlab Tutorial this Wednesday, Nov 2 at 9:00|
|Date:||Mon, 31 Oct 2011 13:18:23 -0400|
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 firstname.lastname@example.org. Sincerely, Tom Tom McHugh Account Manager MathWorks Phone: 508-647-7657 Fax: 508-652-6741 Email: email@example.com <mailto:firstname.lastname@example.org> --------------------------------------------------------------------- Seminars and symposia at RSMAS To unsubscribe, e-mail: email@example.com For additional commands, e-mail: firstname.lastname@example.org Post to: email@example.com
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