Brief announcement: better speedups for parallel max-flow
University of Maryland, College Park, MD, USA
Proceedings of the 23rd ACM symposium on Parallelism in algorithms and architectures, SPAA ’11, 2011
@inproceedings{caragea2011brief,
title={Brief announcement: better speedups for parallel max-flow},
author={Caragea, G.C. and Vishkin, U.},
booktitle={Proceedings of the 23rd ACM symposium on Parallelism in algorithms and architectures},
pages={131–134},
year={2011},
organization={ACM}
}
We present a parallel solution to the Maximum-Flow (Max-Flow) problem, suitable for a modern many-core architecture. We show that by starting from a PRAM algorithm, following an established "programmer’s workflow" and targeting XMT, a PRAM-inspired many-core architecture, we achieve significantly higher speed-ups than previous approaches. Comparison with the fastest known serial max-flow implementation on a modern CPU demonstrates for the first time potential for orders-of-magnitude performance improvement for Max-Flow. Using XMT, the PRAM Max-Flow algorithm is also much easier to program than for other parallel platforms, contributing a powerful example toward dual validation of both PRAM algorithmics and XMT.
September 20, 2011 by hgpu
