Performance Analysis of Parallel Constraint-Based Local Search

被引：3
|
作者：
Caniou, Yves
Diaz, Daniel [1 ]
Richoux, Florian
Codognet, Philippe [2 ]
Abreu, Salvador [3 ]
机构：
[1] Univ Paris 01, F-75231 Paris 05, France
[2] Univ Tokyo, CNRS, JFLI, UPMC, Tokyo 1138654, Japan
[3] Univ Evora, Evora, Portugal
来源：
ACM SIGPLAN NOTICES | 2012年 / 47卷 / 08期
关键词：
Experimentation; Performance; Algorithms; combinatorial optimization; meta-heuristics; parallelism; implementation; Constraints; local search; SPECIAL-ISSUE;
D O I：
10.1145/2370036.2145883
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results for hard combinatorial optimization problems on two different platforms up to several hundreds of cores. On a variety of classical CSPs benchmarks, speedups are very good for a few tens of cores, and good up to a hundred cores. More challenging problems derived from real-life applications (Costas array) shows even better speedups, nearly optimal up to 256 cores.
引用
收藏
页码：337 / 338
页数：2
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