2 papers
cs.AR2025
COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives
Shubham Negi, Manik Singhal, Aayush Ankit +2
Modern machine learning accelerators are designed to efficiently execute deep neural networks (DNNs) by optimizing data movement, memory hierarchy, and compute throughput. However,…
cs.LG2022
Block Format Error Bounds and Optimal Block Size Selection
Ilya Soloveychik, Ilya Lyubomirsky, Xin Wang +1
The amounts of data that need to be transmitted, processed, and stored by the modern deep neural networks have reached truly enormous volumes in the last few years calling for the…