PACE A Partnership for an Advanced Computing Environment

September 14, 2012

Free MATLAB Technical Seminars on Tuesday

Filed under: Events,News — Tags: , — Semir Sarajlic @ 6:43 pm

As a friendly reminder, you are invited to join MathWorks for complimentary MATLAB seminars on Tuesday, September 18, 2012 in Room 144 in Clough Undergraduate Commons.

–Register now– Register at


5:30 – 6:30 p.m.
Session 1: What’s New in MATLAB?
Presented By: Loren Shure, Principal MATLAB Developer (KEYNOTE SPEAKER)

In this session, we will demonstrate workflow examples highlighting and utilizing new MATLAB features. The latest MATLAB release, R2012b, introduces a redesigned Desktop, making it easier to help both new and experienced users navigate the continuously expanding capabilities within MATLAB.

Loren has worked at MathWorks for over 25 years. She has co-authored several MathWorks products in addition to adding core functionality to MATLAB. Loren currently works on the design of the MATLAB language. She graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. Loren writes about MATLAB on her blog, The Art of MATLAB.

6:30 – 7:00 p.m.
Georgia Tech Alumni Panel

Hear from a selection of Georgia Tech Alumni who now work at The MathWorks as they discuss their career paths. (Pizza will be served.)

7:00 – 8:30 p.m.
Session 2: Parallel and GPU Computing with MATLAB
Presented By: Jiro Doke, Ph.D., Senior Application Engineer and Georgia Tech alumnus

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 and run them on multiple processors. We will show you how to overcome the memory limits of your desktop computer by distributing your data on a large scale computing resource, such as a cluster. We will also demonstrate how to take advantage of GPUs to speed up computations without low-level programming. Highlights include:
· Toolboxes with built-in support for parallel computing
· Creating parallel applications to speed up independent tasks
· Scaling up to computer clusters, grid environments or clouds
· Employing GPUs to speed up your computations

Jiro joined MathWorks in May 2006 as an application engineer. He received his B.S. from Georgia Institute of Technology and Ph.D. from the University of Michigan, both in Mechanical Engineering. His Ph.D. research was in biomechanics of human movement, specifically in human gait. His experience in MATLAB comes from extensive use in graduate school, using the tool for data acquisition, analysis, and visualization. At MathWorks, Jiro focuses on core MATLAB; math, statistics and optimization tools; and parallel computing tools.

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