High Performance Computing with CUDA, Part of Supercomputing

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GFLOPS Motivation CPU Intel Core i7 965 4 cores 102 GFLOPS Fact: nobody cares about theoretical peak GPU NVIDIA TESLA C1060 240 cores 936 GFLOPS GPU Challenge: harness GPU power for real application performance CPU
Motivation: Accelerating Insight 4.6 Days 27 Minutes © NVIDIA Corporation 2009 2.7 Days 30 Minutes 8 Hours 13 Minutes CPU Only Heterogeneous <strong>with</strong> Tesla GPU 3 Hours 16 Minutes
Page 2 and 3: Welcome! GPUs have become a major f
Page 6 and 7: CUDA is everywhere Over 270 univers
Page 8 and 9: GPUs in high-performance computing
Page 10 and 11: Emerging HPC Products New class of
Page 12 and 13: Tutorial prerequisites Tutorial int
Page 14 and 15: Schedule 8:30 Introduction Welcome,
Page 16: Schedule: case studies 2:30 Molecul
Page 19 and 20: CUDA C Example void saxpy_serial(in
Page 21 and 22: Example: Parallel Reduction Summing
Page 23: Parallel Reduction for 1 Block // I
Page 26 and 27: Time Hardware Thread Scheduling Con
Page 28: Conclusion GPUs are massively paral

High Performance Computing with CUDA, Part of Supercomputing

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