Exascale Deep Learning for Scientific Inverse Problems
Exascale Deep Learning for Scientific Inverse Problems
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We introduce novel communication strategies in synchronous distributed Deep Learning consisting of decentralized gradient reduction orchestration and computational graph-aware grouping of gradient tensors. These new techniques produce an optimal overlap between computation and communication and result in near-linear scaling (0.93) of distributed tr...
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Exascale Deep Learning for Scientific Inverse Problems
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TN_cdi_proquest_journals_2297545396
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2297545396
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E-ISSN
2331-8422
