Fast ML for Science benchmarks and architectural implications

Authors

Ryan Kastner (ORCID: https://orcid.org/0000-0001-9062-5570)
Benjamin Hawks (ORCID: https://orcid.org/0000-0001-5700-0288)
Alexander Redding (ORCID: https://orcid.org/0000-0001-5210-0407)
Olivia Weng (ORCID: https://orcid.org/0000-0003-1213-421X)
Nhan Viet Tran (ORCID: https://orcid.org/0000-0002-8440-6854)
Javier Mauricio Duarte (ORCID: https://orcid.org/0000-0002-5076-7096)

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article

Ryan Kastner, Benjamin Hawks, Alexander Redding, Olivia Weng et al.

Apr 3, 2025

Scientific Computing and Data Management

article

Ryan Kastner, Benjamin Hawks, Alexander Redding, Olivia Weng, Nhan Viet Tran, Javier Mauricio Duarte

April 3, 2025article en

No abstract available for this paper.

Fermi National Accelerator Laboratory (US)

Sustainable cities and communities

Scientific Computing and Data Management

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Fast ML for Science benchmarks and architectural implications — Ryan Kastner, Benjamin Hawks, et al. · (2025) | TGRS Research Map | TGRS