[Grad-postdoc-assn] Fwd: MATLAB Seminars at UCAR

[Scott Briggs]

FYI

-------- Original Message --------
Subject: 	MATLAB Seminars at UCAR
Date: 	Fri, 1 Jul 2011 21:05:12 +0000
From: 	Ken Cleveland <Ken.Cleveland at mathworks.com>
To: 	dorothy at ucar.edu <dorothy at ucar.edu>



Hi Dorothy,

The MathWorks would like to invite you to attend a pair of free 
technical seminars on MATLAB being held at the UCAR Foothills Laboratory 
on July 14th.

Please register if you think you would like to attend either or both 
sessions so we can plan accordingly for seating and hand-outs. A 
registration link is provided below.

There is no charge, and any interested faculty, staff, researcher, or 
student is welcome to attend. Feel free to pass this invite along to 
anyone you feel would be interested.

The presenter will be Saket Kharsikar, MathWorks Application Engineer.

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

Session 1:


    Data Analysis with MATLAB

**

*When: 9:00 to 11:30 AM            Thursday, July 14^th *

**

*Where: **Foothills Lab, FL1-2198 EOL Atrium*

**

*Register: 
**http://www.mathworks.com/company/events/seminars/seminar58501.html*

8:45 AM -- 9:00 AM        Registration and Sign-in (Walk-ins welcome)

9:00 AM -- 11:30 AM *Data Analysis with MATLAB*

*
*Attend this seminar to find out how you can use MATLAB and its add-on 
products to develop algorithms, visualize and analyze data, and perform 
numeric computation. MathWorks engineers will provide an overview of 
MATLAB through live demonstrations, examples, and user testimonials, 
showing how you can use MATLAB and related toolboxes to:

*Access data from many sources (files, other software, hardware, etc.)

*Use interactive tools for iterative exploration, design, and problem 
solving

*Automate and capture your work in easy-to-write scripts and programs

*Share your results with others by automatically creating reports

*Build and deploy GUI-based applications

*

MATLAB provides a flexible environment for teaching and research in a 
wide range of applications, including signal processing and 
communications, image processing, math and optimization, statistics and 
data analysis, control systems, hardware data acquisition, computational 
finance, and computational biology.

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

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

Session 2:


    Speeding Up Applications and Parallel Computing with MATLAB


*When: 1:30 to 4:00 PM *            Thursday, July 14^th *

**

*Where: **Foothills Lab, FL1-2198 EOL Atrium*

**

*Register: 
**http://www.mathworks.com/company/events/seminars/seminar58501.html*

1:15 PM -- 1:30 PM        Registration and Sign-in (Walk-ins welcome)

1:30 PM -- 4:00 PM * *Speeding Up Applications and Parallel Computing 
with MATLAB*

Speeding Up MATLAB Applications: Serial Best Practices


This session 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

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

*NOTE:  Our registration page may show the incorrect end time for this 
session -- 4PM is the correct time.

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

Although there are no exercises or hands-on activities planned, we will 
be distributing the presenter's code examples and slides via email to 
anyone that attends either session.

Attendees are welcome to ask questions throughout the sessions, and we 
will conclude each with an opportunity for open Q&A.

For more information contact:

Ken Cleveland

Sr. Account Manager,

MathWorks Educational Sales Department

ken.cleveland at mathworks.com <mailto:ken.cleveland at mathworks.com>

508-647-8005

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

The MathWorks, Inc. - 3 Apple Hill Drive, Natick, MA 01760 - 508-647-7000

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