Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale

Kashish Mittal, Di Yu, Roozbeh Ketabi +3

Training massive-scale deep learning models on datasets spanning tens of terabytes presents critical challenges in hardware utilization and training reproducibility. In this paper,…