9 citations · 38 across the 21 of their papers we have counts for
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cs.LG2023★ 9 cited
Microscaling Data Formats for Deep Learning
Bita Darvish Rouhani, Ritchie Zhao, Ankit More +30
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that…
cs.LG2023★ 2 cited
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
Geet Sethi, Pallab Bhattacharya, Dhruv Choudhary +2
Sequence-based deep learning recommendation models (DLRMs) are an emerging class of DLRMs showing great improvements over their prior sum-pooling based counterparts at capturing us…