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DLR RFZ Reusable Rocket Model in 4.3 Billion cell CFD - FluidX3D on 2x Intel Xeon 6979P
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#SC24 day 4! What does it look like when a reusable rocket booster slows down in Earth's atmosphere? I've simulated DLR's RFZ rocket model in #FluidX3D. 2x #Intel Xeon 6979P CPUs chew through this 4.3 Billion cell simulation in ~14 hours! 🔥
Simulation Stats:
- Intel CPU Runtime for OpenCL (oneAPI)
- Lattice Boltzmann (LBM), D3Q19 SRT, FP32 arithmetic, FP32 memory storage
- 1624×1624×1624 = 4.3 Billion grid cells, 1 cell = (2.6 mm)³
- 380 GB memory footprint (55 Bytes/cell, or 19M cells per 1GB)
- 22224 time steps = 0.05 seconds real time
- 3x 1200 4k images rendered, velocity-colored Q-criterion isosurfaces visualized
- 100 m/s airspeed
- Reynolds number = 321M
- Runtime = 13h53m(total) = 7h28m (LBM compute) + 6h24m (rendering)
- Average LBM performance = 3541 MLUPs/s
Hardware Specs:
- 24x 128GB 8800MT/s MRDIMMs, for 3TB total RAM at 1.7TB/s
- 0x #GPUs
Simulation Stats:
- Intel CPU Runtime for OpenCL (oneAPI)
- Lattice Boltzmann (LBM), D3Q19 SRT, FP32 arithmetic, FP32 memory storage
- 1624×1624×1624 = 4.3 Billion grid cells, 1 cell = (2.6 mm)³
- 380 GB memory footprint (55 Bytes/cell, or 19M cells per 1GB)
- 22224 time steps = 0.05 seconds real time
- 3x 1200 4k images rendered, velocity-colored Q-criterion isosurfaces visualized
- 100 m/s airspeed
- Reynolds number = 321M
- Runtime = 13h53m(total) = 7h28m (LBM compute) + 6h24m (rendering)
- Average LBM performance = 3541 MLUPs/s
Hardware Specs:
- 24x 128GB 8800MT/s MRDIMMs, for 3TB total RAM at 1.7TB/s
- 0x #GPUs
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