40 citations · 42 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.DC2023
Blox: A Modular Toolkit for Deep Learning Schedulers
Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman
Deep Learning (DL) workloads have rapidly increased in popularity in enterprise clusters and several new cluster schedulers have been proposed in recent years to support these work…
cs.LG2023
Cuttlefish: Low-Rank Model Training without All the Tuning
Hongyi Wang, Saurabh Agarwal, Pongsakorn U-chupala +3
Recent research has shown that training low-rank neural networks can effectively reduce the total number of trainable parameters without sacrificing predictive accuracy, resulting…