Few technologies have a more interesting history than parallel computing, in which multiple processors in a single system combine to tackle a problem. A chronicle of events in parallel computing says ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...