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SEMINAR: Two Matlab presentations next Thursday.

From:	Grant Basham <gbasham@rsmas.miami.edu>
Subject:	SEMINAR: Two Matlab presentations next Thursday.
Date:	Fri, 20 May 2011 13:23:27 -0400

2 Matlab sessions next Thursday, May 26. Morning session on gables campus, afternoon at RSMAS. Register below. Presented by Matlab.

---------- Forwarded message ----------
From: Tom McHugh <Tom.McHugh@mathworks.com>
Date: Fri, May 20, 2011 at 12:53 PM
Subject: Optimizing MATLAB Code for Performance - Thursday, May 26th 9:30am - Whitten Learning Center, room 140
To: Tom McHugh <Tom.McHugh@mathworks.com>

Good afternoon. As a reminder we will be presenting a MATLAB seminar on Thursday, May 26th in Whitten Learning Center, room 140. To learn more or to register, please visit:

http://www.mathworks.com/seminars/umiami2011

The purpose is to help you improve and optimize your code to boost the execution speed of your MATLAB applications. Please forward this invitation to anyone including students who may be interested in attending.

Optimizing MATLAB Code for Performance: Serial Best Practices and Parallel Computing

ü Date: Thursday, May 26th

ü Time: 9:30 – 12noon

ü Location: Whitten Learning Center, room 140

Presenter: Saket Kharsikar, MathWorks Application Engineer

Speeding Up MATLAB Applications: Serial Best Practices

This part will focus on good serial MATLAB programming practices. We will discuss and demonstrate simple ways to improve and optimize your code that can boost the execution speed of your application. We will also address common pitfalls in writing MATLAB code and explore the use of the MATLAB Profiler to find bottlenecks.

Highlights include:

• Understand memory usage and vectorization in MATLAB

• Address bottlenecks in your programs

• Optimize file I/O to streamline your code

Parallel Computing with MATLAB

This section 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 your applications to boost 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 a 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

Note we also be presenting two additional sessions on May 26^th and May 27^th for the University of Miami. Please join us for the following sessions.

Session 2:

Title: Mathematical Modeling with MATLAB

Date: Thursday, May 26th

Time: 2pm – 4:30pm

Location: SLAB Seminar Room at the Rosenstiel School of Marine and Atmospheric Science, University of Miami