Jet Engine Aerodynamics on GPUs - many-core.group - University of ...

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Turbostream• CUDAportofexisAngFORTRANcode(TBLOCK)• 15,000linesFORTRAN• 5,000lineskerneldefiniAons‐>30,000linesofCUDA• RunsonCPUormulApleGPUs• 20xspeeduponTeslaC1060ascomparedtoallcoresofamodernIntelcore2quad.
Turbostream• 9minutesonaTeslaS870(4GPUs)• 12hoursonone2.5GHzCPUcore
Page 1 and 2: NVIDIA ® TESLAJET ENGINE AERODYNAM
Page 3 and 4: TurbomachineryThousands of bladesAr
Page 5 and 6: IntroducAontoCFDBladeFlowDivide the
Page 7 and 8: GoverningequaAonsforeachcellConserv
Page 9 and 10: Example:massconservaAon• Sumfluxe
Page 11 and 12: SimilarityofstepsEach step uses dat
Page 13 and 14: CPUrunAmes(x86machines)Steadyapprox
Page 15 and 16: ThepurposeofGPUs
Page 17 and 18: GraphicsandscienAficcompuAngGPUsare
Page 19 and 20: Pre‐CUDA-GPUcoercionApplication s
Page 21 and 22: CUDA• GraphicsabstracAonisremoved
Page 23 and 24: • DivideupdomainOverallstrategy-
Page 25 and 26: CUDAexample__global__ void smooth_k
Page 27 and 28: ExampleSBLOCKdefiniAonkind = "stenc
Page 29: CUDAimplementaAon__global__ void sm
Page 33 and 34: ImpactofGPUacceleratedCFD• TeslaP
Page 35: MoreinformaAonwww.many-core.group.c

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