High Performance Computing with CUDA, Part of Supercomputing

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Time Hardware Thread Scheduling Concurrent kernel execution + faster context switch Kernel 1 Kernel 1 Kernel 2 Kernel 2 Kernel 4 Kernel 3 Kernel 2 Kernel 2 Kernel 3 Kernel 5 Serial Kernel Execution Parallel Kernel Execution nel Kernel 5 Ker 4
More Fermi Goodness Unified 40-bit address space for local, shared, global Configurable 64K L1$ / shared memory 10x faster atomics Dual DMA engines for CPU�� GPU transfers IEEE 754-2008: Fused Multiply-Add (FMA) for SP, DP
Page 2 and 3: Welcome! GPUs have become a major f
Page 4 and 5: GFLOPS Motivation CPU Intel Core i7
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 28: Conclusion GPUs are massively paral

High Performance Computing with CUDA, Part of Supercomputing

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