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Enabling High Performance Computing on Embedded Systems



High Performance Computing (HPC) has classically been the domain of super computers consisting of rooms filled with endless rows of rack-mounted processor blades. However, recent advances in processors and single board computers are enabling compute-intensive applications to run on embedded systems. This session reviews the challenges of accessing the teraflop-range performance potential of these new platforms and explains how high level libraries like Sourcery VSIPL++ and performance profiling tools like Sourcery Analyzer can help maximize application speed performance and portability while ensuring high developer productivity.

What You Will Learn

  • Common pitfalls to accessing maximum hardware speed performance
  • The advantages of using a high-level library for HPC application development
  • How performance profiling data visualization can accelerate HPC application debugging

About the Presenters

Presenter Image Brooks Moses

Dr. Moses leads the High Performance Computing Solutions team in Mentor Graphics' Embedded Software Division. He also participates directly in the development of the Sourcery VSIPL++ library and other high-performance library products. Dr. Moses worked extensively on the Cell/B.E and NVIDIA CUDA ports of Sourcery VSIPL++. Dr. Moses holds a Ph.D. in Mechanical Engineering from Stanford University where he conducted advanced research into algorithms for computational fluid dynamics simulation.

Presenter Image Pete Decher

Pete is the Business Development Manager for High Performance Computing Solutions at Mentor’s Embedded Systems Division. Pete has over 30 years of experience in software development, electronic system design and test at a variety companies ranging from startups to Fortune 500. Pete holds a BSEE degree from Georgia Tech and an MSEE degree from Stanford University as well as several US patents.

Who Should View

  • Software engineers developing compute-intensive embedded applications
  • Engineering managers focusing on software development cost reduction and process improvement
  • Software engineers tasked with maintenance and platform migration of compute-intensive applications

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