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 ...

Parallel computing is an idea whose time has finally come, but not for the obvious reasons. Parallelism is a computer science concept that is older Moore’s Law. In fact, it first appeared in print in ...

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 ...