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pro vyhledávání: '"Kwanheum Cho"'
Autor:
Hyuk-Jae Lee, Kiyoung Choi, Heesu Kim, Eojin Lee, Hanmin Park, Taehyun Kim, Jinho Lee, Soojung Ryu, Kwanheum Cho
Publikováno v:
HPCA
In this paper, we present GradPIM, a processing-in-memory architecture which accelerates parameter updates of deep neural networks training. As one of processing-in-memory techniques that could be realized in the near future, we propose an incrementa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa4e854406aa1a9abdc5d9f1dcbbd87a
https://doi.org/10.1109/hpca51647.2021.00030
https://doi.org/10.1109/hpca51647.2021.00030
