26 citations · 47 across the 10 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
With Shared Microexponents, A Little Shifting Goes a Long Way
Bita Rouhani, Ritchie Zhao, Venmugil Elango +19
This paper introduces Block Data Representations (BDR), a framework for exploring and evaluating a wide spectrum of narrow-precision formats for deep learning. It enables compariso…