Search Results for author: Jason Akers

Found 1 papers, 0 papers with code

MTrainS: Improving DLRM training efficiency using heterogeneous memories

no code implementations19 Apr 2023 Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald Dreslinski, Ehsan K. Ardestani

In Deep Learning Recommendation Models (DLRM), sparse features capturing categorical inputs through embedding tables are the major contributors to model size and require high memory bandwidth.

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