Sailfish: Lattice Boltzmann Fluid Simulations with GPUs and Python

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How it all works: main loopIdea: Overlap network I/O and GPU computation.Split domain into boundary and bulk.Run simulation in the boundary first.Run kernels to collect data into a continuous memory block.Run simulation in the bulk area.Copy data to be transferred from the GPU to the host.Send data to remote nodes.Receive data from remote nodes.Copy data from the host to the GPU.Run kernels to distribute data from remote nodes to thecorrect locations in global memory.M. Januszewski (IoP, US) Sailfish: LBM with GPUs and Python GTC 2012 23 / 26
How it all works: node-node communicationM. Januszewski (IoP, US) Sailfish: LBM with GPUs and Python GTC 2012 24 / 26
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Sailfish: Lattice Boltzmann Fluid S
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My adventure with Computational Flu
Page 5 and 6: My adventure with Computational Flu
Page 7: Fluid simulation1 Macroscopic scale
Page 11 and 12: Lattice Boltzmann: the algorithm1 C
Page 13 and 14: Lattice Boltzmann: the algorithm1 C
Page 15 and 16: Lattice Boltzmann: History600500400
Page 17: Why Python?✓ Easy to understand.
Page 21 and 22: LBM as a frameworkMany lattice Bolt
Page 31 and 32: Sailfish: Mako template example - b
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Page 35 and 36: Sailfish: symbolic run-time code ge
Page 43 and 44: Sailfish: Summary of basic ideasPri
Page 45 and 46: Sample simulationsM. Januszewski (I
Page 47 and 48: How it all works: simulation setup
Page 49 and 50: How it all works: LBM implementatio
Page 51 and 52: How it all works: main loopIdea: Ov
Page 53 and 54: How it all works: main loopIdea: Ov
Page 55: How it all works: main loopIdea: Ov
Page 59 and 60: SummaryUse the right tool for the j
Page 61 and 62: SummaryUse the right tool for the j
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Sailfish: Lattice Boltzmann Fluid Simulations with GPUs and Python

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