FREE! Online MATLAB workshop
- MATLAB Workshop at Univ. of 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
COST: *FREE*
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.
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