6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.NI2024★ 1 cited
MLCC: A Congestion Control Technique to Accelerate ML Training
Anton A. Zabreyko, Sanjoli Narang, Sudarsanan Rajasekaran +1
We present MLCC, a novel technique to augment today's congestion control algorithms to accelerate DNN training jobs in shared GPU clusters in a fully distributed manner. At the hea…
cs.NI2023★ 6 cited
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
We present CASSINI, a network-aware job scheduler for machine learning (ML) clusters. CASSINI introduces a novel geometric abstraction to consider the communication pattern of diff…