CUDA Libraries and MPI+OpenMP+CUDA - Prace Training Portal

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use-case: PHIGEMMGFlopsphiGEMM single- <strong>and</strong> multi-GPU performance80070060050040030020010001024 2048 3072 4096 5120 6144 7168 8192 9216 10240Dimension [M=N=K]CUBLAS ThunkingCUBLAS peakMKLphiGEMM (1 GPU)phiGEMM (2 GPU)February 10, 2012 PRACE Winter School 201227
Page 1 and 2: PRACE Winter School 2012Hybrid Prog
Page 3 and 4: Acknowledgments first!• ICHEC, Ir
Page 5 and 6: CUDA library ecosystemNVIDIA CUDATo
Page 7 and 8: CUFFT - Code Sample (C)#define NX 2
Page 9 and 10: CUBLAS - Thunking versus non-Thunki
Page 11 and 12: CUBLAS - Code Sample (FORTRAN)PROGR
Page 13 and 14: use-case: compute 3D-FFT on multi-G
Page 15 and 16: fft3Dtest.cu - Code Snippet (C++)lo
Page 17 and 18: fft3Dtest.cu - Profiling12101 GPU2
Page 19 and 20: Pinned allocation - Code Sample (FO
Page 21 and 22: Pinned allocation - Code Sample (FO
Page 23 and 24: Consideration over PINNED memory4m3
Page 25: PHIGEMM - Code Snippet (C)for (iDev
Page 29 and 30: Performance Measurement and Metrics
Page 35 and 36: MPI + OpenMP + CUDA = what?MPI• M
Page 37 and 38: … and maximize it!How? Keep in mi
Page 39 and 40: QUANTUM ESPRESSO in a nutshell• Q
Page 41 and 42: Parallelization levels in PWSCFImag
Page 43 and 44: MPI-GPU binding & GPU memory manage
Page 45 and 46: MPI-GPU binding - Code Snippet (C)/
Page 47 and 48: MPI/Process-GPU scenariosSingle GPU
Page 49 and 50: CUDA ADDUSDENS - Code Snippet (C)fo
Page 51 and 52: CUDA ADDUSDENS - Code Snippet (C)qe
Page 53 and 54: ADDUSDENS - Code Snippet (FORTRAN)D
Page 55 and 56: ADDUSDENS - Code Snippet (FORTRAN)D
Page 57 and 58: CUDA NEWD - Code Snippet (C)cublasS
Page 59 and 60: CUDA NEWD - Profiling OccupancyGOOD
Page 61 and 62: CUDA VLOC_PSI_K serial - CUFFT invo
Page 63 and 64: KERNEL_INIT_PSIC_K - Considerations
Page 65 and 66: CUDA VLOC_PSI_K - parallelPSIPSIC P
Page 67 and 68: PWSCF GPU, results & benchmarks(par
Page 69 and 70: Can I achieve a better acceleration

CUDA Libraries and MPI+OpenMP+CUDA - Prace Training Portal

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