Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
156 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A parallel framework for reverse search using mts (1610.07735v1)

Published 25 Oct 2016 in cs.DC

Abstract: We describe mts, which is a generic framework for parallelizing certain types of tree search programs, that (a) provides a single common wrapper containing all of the parallelization, and (b) minimizes the changes needed to the existing single processor legacy code. The mts code was derived from ideas used to develop mplrs, a parallelization of the reverse search vertex enumeration code lrs. The tree search properties required for the use of mts are satisfied by any reverse search algorithm as well as other tree search methods such as backtracking and branch and bound. mts is programmed in C, uses the MPI parallel environment, and can be run on a network of computers. As examples we parallelize two simple existing reverse search codes: generating topological orderings and generating spanning trees of a graph. We give computational results comparing the parallel codes with state of the art sequential codes for the same problems.

Citations (11)

Summary

We haven't generated a summary for this paper yet.