A Hitchhiker’s Guide On Distributed Training Of Deep Neural Networks

Deep learning has led to tremendous advancements in the field of Artificial Intelligence. One caveat, however, is the substantial amount of compute needed to train these deep learning models. Training a benchmark dataset like ImageNet on a single machine with a modern GPU can take up to a week and distributing training on multiple machines has been observed to drastically bring this time down. Recent work has brought down ImageNet training time...