41 citations · 62 across the 6 of their papers we have counts for
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cs.LG2022★ 4 cited
A Study on the Intersection of GPU Utilization and CNN Inference
Jack Kosaian, Amar Phanishayee
There has been significant progress in developing neural network architectures that both achieve high predictive performance and that also achieve high application-level inference…
cs.LG2021★ 1 cited
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
Kaige Liu, Jack Kosaian, K. V. Rashmi
Deep-learning-based recommendation models (DLRMs) are widely deployed to serve personalized content to users. DLRMs are large in size due to their use of large embedding tables, an…
cs.LG2018★ 41 cited
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
Machine learning algorithms are typically run on large scale, distributed compute infrastructure that routinely face a number of unavailabilities such as failures and temporary slo…