10 citations · 13 across the 6 of their papers we have counts for
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cs.DC2023★ 3 cited
Systems for Parallel and Distributed Large-Model Deep Learning Training
Kabir Nagrecha
Deep learning (DL) has transformed applications in a variety of domains, including computer vision, natural language processing, and tabular data analysis. The search for improved…
cs.DC2021
Hydra: A System for Large Multi-Model Deep Learning
Kabir Nagrecha, Arun Kumar
Scaling up model depth and size is now a common approach to raise accuracy in many deep learning (DL) applications, as evidenced by the widespread success of multi-billion or even…
cs.DC2021★ 10 cited
Model-Parallel Model Selection for Deep Learning Systems
Kabir Nagrecha
As deep learning becomes more expensive, both in terms of time and compute, inefficiencies in machine learning (ML) training prevent practical usage of state-of-the-art models for…