COMBINING HELPFUL SETS AND PARALLEL SIMULATED ANNEALING FOR THE GRAPH-PARTITIONING PROBLEM*
作者:
RALF DIEKMANN,
REINHARD LÜLING,
BURKHARD MONIEN,
CARSTEN SPRÄNER,
期刊:
Parallel Algorithms and Applications
(Taylor Available online 1996)
卷期:
Volume 8,
issue 1
页码: 61-84
ISSN:1063-7192
年代: 1996
DOI:10.1080/10637199608915544
出版商: Taylor & Francis Group
关键词: Parallel computing;mapping;graph partitioning;local search;simulated annealing
数据来源: Taylor
摘要:
In this paper we present a new algorithm for thek-partitioning problem which achieves an improved solution uality compared to known heuristics. We apply the principle of so called “helpful sets”, which has shown to be very efficient for graph bisection, to the directk-partitioning problem. The principle is extended in several ways. We introduce a new abstraction technique which shrinks the graph during runtime in a dynamic way leading to shorter computation times and improved solutions qualities. The use of stochastic methods provides further improvements in terms of solution quality. Additionally we present a parallel implementation of the new heuristic. The parallel algorithm delivers the same solution quality as the sequential one while providing reasonable parallel efficiency on MIMD-systems of moderate size.
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