WHAT: MATLAB Workshop at U Oklahoma and via videoconferencing
Morning: Data Analysis with MATLAB (no previous MATLAB experience needed)
Afternoon: Parallel Computing with MATLAB

WHEN: Tue Feb 28 2012, 10:00-11:30am and 1:00-3:30pm Central Time

WHERE: University of Oklahoma, Stephenson Research & Technology Center

SESSION I: Data Analysis with MATLAB

(No previous MATLAB experience needed)

9:45-10:00am Central Time: Registration and check-in
10:00-11:30am Central Time: Data Analysis with MATALB

Engineers, scientists, and data analysts worldwide use MATLAB to
accelerate research and to reduce analysis and development time.

Attend this seminar to find out how you and your colleagues can
use MATLAB and its add-on products to analyze your data more
effectively and to overcome some of the limitations you face when
using spreadsheets for data analysis.

We will provide an overview of MATLAB through live demonstrations
showing how 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.

No previous MATLAB experience is needed for Session I.

SESSION II: Parallel Computing with MATLAB

Prerequisite: Session I, or equivalent MATLAB experience

12:45-1:00pm Central Time: Registration and check-in
1:00-3:30pm Central Time: Parallel Computing with MATLAB

In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs and computer clusters.

We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and to run them on multiple processors.

We will also show you how to overcome the memory limits of your desktop computer and to solve problems that require manipulating very large matrices by distributing your data.

Highlights will include:

* 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

Special add-on session:

A representative from OU will offer information for OU MATLAB users who are interested in running MATLAB jobs on OU's supercomputing resources.

PRESENTER BIOGRAPHY

Gerardo Hernandez Correa holds a BS in Physics and an MS in Applied Mathematics from the University of Puerto Rico at Mayagüez, and an MS in Mechanical Engineering from Worcester Polytechnic Insititute (WPI). He is currently completing the requirements for a PhD in Mathematical Sciences, also at WPI.

At UPRM, his area of research was the theory of distributions and inverse problems, in particular the identification of linear systems. In his MS thesis, "Identification of Linear Systems," Gerardo designed and implemented in MATLAB an iterative, non-destructive method for retrieving the convolution kernel of linear systems.

At WPI, in his dissertation, "An Adaptive, Multiresolution Agent-based Model of Glioblastoma Multiforme", Gerardo designed and implemented in MATLAB a multi-resolution agent-based model of the evolution of brain tumors, in particular Glioblastoma multiforme.

Gerardo's areas of interest include numerical methods -- in particular Ordinary and Partial Differential Equation solvers -- as well as mathematical modeling, dynamical systems and high performance computing, among others.

The registration webpage ist:

http://www.mathworks.com/seminars/OU2012/

For people who want to participate remotely via videoconferencing, we'll send out details presently.

Onsite at OU, coffee and a light snack will be served for the morning session, and drinks and a light snack for the afternoon session.