Going Parallel In Image Processing Using MATLAB and Python

Tech Insiders Webinar Series - 10/14/2008

The Brightest Minds Discussing the Biggest Topics
Going Parallel In Image Processing Using MATLAB and Python
Tuesday, Oct 14, 2008
2:00 PM ET / 11:00 AM PT / 18:00 GMT (Duration: 1 hour)

In this Webinar, learn how Star-P lets engineers, scientists, and researchers write applications on desktop computers using MATLAB and Python, and run them interactively on multiprocessor servers or HPC clusters. Interactive Supercomputing will share insights on how to eliminate the need to re-program applications in C, FORTRAN or MPI languages in order to achieve production performance.

In a live demo, you will see Star-P's data and task parallel modes make it easy to process large images and/or large numbers of small images. Running on multi-processor servers or HPC clusters can remove performance barriers caused by insufficient memory or I/O bottlenecks. Learn how engineers, scientists and intelligence analysts can easily tap the power of parallel high performance computers to solve computational problems in a fraction of the time previously required.

Presenters:
* David Rich - Vice President, Interactive Supercomputing
* Roope Astala - Applications Engineer, Interactive Supercomputing
* Niraj Srivastava - Director of Professional Services, Interactive Supercomputing

Moderator:
Ron Schneiderman - Author, The Mobile Technology Question & Answer Book – A Survival Guide for Business Managers and Technology Lost – Hype and Reality in the Digital Age
Contributing editor, Electronic Design and Vision magazines
Founding editor, Wireless Systems Design magazine

Who should attend:
* Software Engineers
* Signal/Image Processing Specialists
* Computer Engineers/Scientists
* Applications Engineers
* Mechanical Engineers
* EDA Engineers
* Mathematicians
* Biomed Engineers
* Software Development Project Managers

REGISTER NOW FOR THIS WEBINAR