3 papers
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…
gr-qc2021
Bardeen black hole in magnetically charged four-dimensional Einstein-Gauss-Bonnet gravity
Shu-Jun Zhang, He-Xu Zhang, Lei Shao +2
In this paper, we investigate the shadow radius and quasinormal modes of a four-dimensional magnetically charged Einstein-Gauss-Bonnet Bardeen black hole and point out a simple con…