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High Performance Computing Initiative at Arizona State University

Computational researchers often encounter difficulty with their calculations in the effort to model complex systems. Accuracy demands large-scale models, which, in turn, require large amounts of computer memory and processing. On a single processor system, the computation is therefore hamstrung. In harnessing thousands of processors together, the ASU High Performance Computing Initiative provides a resource for computational researchers to investigate at large scale. The aim of this talk is to describe the Saguaro 2 cluster at ASU, to discuss the fundamentals of parallel programming and to present research examples from ASU that exploit the Saguaro 2 system.

About the Speaker

After receiving his B.S. in electrical engineering from MIT, Dr. Gil Speyer worked on FPGAs at Xilinx, Inc. in San Jose, CA. Gil earned his M.S. and Ph.D. in electrical engineering at ASU under Dr. David Ferry, researching transport in molecular devices. For the last few years, Gil has worked for the High Performance Computing Initiative developing parallel codes with various research groups.

Downloads

20100113IEEE_talk.ppt (PowerPoint Presentation)