This Scientific Reports Collection welcomes original research on Distributed parallel computing. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. For further ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Abstract: Offloading DNN workload to an edge network for parallel and distributed computing is a promising solution to hosting computationintensive DNN services. The challenge is how to partition DNN ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...

For NCI’s Prof Horacio González-Vélez, the challenge of computational science is building systems that are not only powerful, but keep up with the changing needs of science, industry and society.

1. T.N. Truong, F. Trahay, J. Domke, A. Drozd, E. Vatai, J. Liao, M. Wahib, B. Gerofi, "Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.