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Large-scale distributed linear algebra with tensor processing units
We have repurposed Google tensor processing units (TPUs), application-specific chips developed for machine learning, into large-scale dense linear algebra supercomputers. The TPUs’ fast intercore interconnects (ICIs), physically two-dimensional network topology, and high-bandwidth memory (HBM) permi...
Autores principales: | Lewis, Adam G. M., Beall, Jackson, Ganahl, Martin, Hauru, Markus, Mallick, Shrestha Basu, Vidal, Guifre |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388123/ https://www.ncbi.nlm.nih.gov/pubmed/35939669 http://dx.doi.org/10.1073/pnas.2122762119 |
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