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...

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Detalles Bibliográficos
Autores principales: Lewis, Adam G. M., Beall, Jackson, Ganahl, Martin, Hauru, Markus, Mallick, Shrestha Basu, Vidal, Guifre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Physical Sciences
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

Internet

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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