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Estimated memory usage and resources allocated for the double branching microvessel shows that using the APR model shrinks the problem size from 235 nodes to one node on Summit.
| Model | Fluid Resolution | Num Fluid Pts | Memory | Resources |
|---|---|---|---|---|
| APR (window) | 0.5 μm | 8.1 × 107 | 33.0 GB | 3 NVIDIA V100 GPUs (fits on 1 node) |
| APR (bulk) | 2.5 μm | 4.4 × 108 | 183.0 GB | 2 IBM Power9 CPUs (fits on 1 node) |
| eFSI | 0.5 μm | 5.5 × 1010 | 22.5 TB | 1406 NVIDIA V100 GPUs (fits on 235 nodes) |
