On modern parallel architectures, the cost of synchronization among processors can often dominate the cost of floating-point computation. Several modifications of the existing methods have been proposed in order to keep the communication cost as low as possible. This paper aims at providing a brief overview of recent advances in parallel iterative methods for solving large-scale problems. We refer the reader to the related references for more details on the derivation, implementation, performance, and analysis of these techniques.
@article{arxiv.1912.00816,
title = {Recent Developments in Iterative Methods for Reducing Synchronization},
author = {Qinmeng Zou and Frederic Magoules},
journal= {arXiv preprint arXiv:1912.00816},
year = {2019}
}