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Inference-optimized AI and high performance computing for gravitational wave detection at scale. (arXiv:2201.11133v1 [gr-qc])
Web: http://arxiv.org/abs/2201.11133
Jan. 28, 2022, 2:10 a.m. | Pranshu Chaturvedi, Asad Khan, Minyang Tian, E. A. Huerta, Huihuo Zheng
cs.LG updates on arXiv.org arxiv.org
We introduce an ensemble of artificial intelligence models for gravitational
wave detection that we trained in the Summit supercomputer using 32 nodes,
equivalent to 192 NVIDIA V100 GPUs, within 2 hours. Once fully trained, we
optimized these models for accelerated inference using NVIDIA TensorRT. We
deployed our inference-optimized AI ensemble in the ThetaGPU supercomputer at
Argonne Leadership Computer Facility to conduct distributed inference. Using
the entire ThetaGPU supercomputer, consisting of 20 nodes each of which has 8
NVIDIA A100 Tensor …
More from arxiv.org / cs.LG updates on arXiv.org
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