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- W4321636701 abstract "Simulations to calculate a single gravitational waveform (GW) can take several weeks. Yet, thousands of such simulations are needed for the detection and interpretation of gravitational waves. Future detectors will require even more accurate waveforms than those currently used. We present here the first large scale, adaptive mesh, multi-GPU numerical relativity (NR) code together with performance analysis and benchmarking. While comparisons are difficult to make, our GPU extension of the Dendro-grNr code achieves a 6x speedup over existing state-of-the-art codes. We achieve 800 GFlops/s on a single NVIDIA A100 GPU with an overall 2.5x speedup over a two-socket, 128-core AMD EPYC 7763 CPU node with an equivalent CPU implementation. We present detailed performance analyses, parallel scalability results, and accuracy assessments for GWs computed for mass ratios <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$mathrm{q}=1,2,4$</tex> ., We also present strong scalability up to 8 A100s and weak scaling up to 229,376 x86 cores on the Texas Advanced Computing Center's Frontera system." @default.
- W4321636701 created "2023-02-24" @default.
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- W4321636701 date "2022-11-01" @default.
- W4321636701 modified "2023-09-26" @default.
- W4321636701 title "A GPU-Accelerated AMR Solver for Gravitational Wave Propagation" @default.
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- W4321636701 doi "https://doi.org/10.1109/sc41404.2022.00080" @default.
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