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Benchmark on 1D advection basic equation before optimization Benchmark on 1D advection basic equation after optimization |
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Benchmark on 2D advection basic equation before optimization Benchmark on 2D advection basic equation after optimization |
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Benchmark on 3D advection basic equation before optimization Benchmark on 3D advection basic equation after optimization |
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A conditional flow has be added in volume integral to select different kernels optimization based on the sizes of Basically, it depends on the max threads we could launch per block. Update: The device property queries before the kernel launch introduce some overhead. Consider optimizing by constructing a struct to store hardware properties, avoiding repetitive queries. |
This was referenced Jan 1, 2025
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This PR addresses kernel optimization for the volume integral process in the semidiscretization.
Update: The original
flux_kernel!andweak_form_kernel!are fused into singleflux_weak_from_kernel!. Dynamic shared memory is allocated to apply the tiling algorithm (one tile only here due to the constraints of the high dimensional matrix) for further speedup. 1D, 2D, and 3D cases all gain speedup.Update2: Maybe can try CUDA library later for some matrix mutiplication.