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The Brightest Minds Discussing Going Parallel In Image Processing Using MATLAB and Python Tuesday, Oct 14, 2008 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.
David Rich Who should attend:
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IEEE Spectrum Tech Insiders Series
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Physical Modeling - The Future of Modeling and Simulation (Available on demand) (Oct 2008)
Learn about the future of modeling and simulation, and how, as the complexity of design tasks increase each year, new techniques are necessary for capturing the complex details of next-generation systems.
Major Advances Boost Simulation Software (Available on demand) (April 2008)
Learn about the latest developments in the simulation software sector, how design analysis tools are becoming more integrated into the CAD environment, and what standards and protocols apply to simulation and analysis software.
