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GPU Stram Programming

  • 2013-09-29
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  • Points it Requires : 2

              hanrahanStream Programming EnvironmentsPat HanrahanComputer Science & Electrical Engineering Stanford UniversityGP^2 Workshop August 7-8, 2004Acknowledgements Bill Dally Eric Darve Vijay Pande Bill Mark John Owens Kurt Akeley Mark Horowitz Ian Buck Mattan Erez Kayvon Fatahalian Tim Foley Daniel Horn Michael Houston Jeremy SugarmanFunding: DARPA, DOE, ATI, IBM, NVIDIA, SONY Motivation Cinematic games and media drive GPU market Current GPU faster than CPU (at graphics) Gap between the GPU and the CPU increasing Why? Data parallelism; efficient communication Programmable GPUs ≈ Stream processors Many applications map to stream processing Therefore, a $50 high-performance parallelcomputer is shipping with every PC Revolutionize computingOverview Technology trends…             

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