{"title":"On a parallel partitioning technique for use with conservative parallel simulation","authors":"B. Nandy, W. Loucks","doi":"10.1145/158459.158465","DOIUrl":null,"url":null,"abstract":"The major goal of this work has been to develop an implementation of a parallel partitioning algorithm which is suitable for use in a conservatively synchronized Parallel Discrete Event Simulation (PDES) environment. Effective partitioning is essential for performance and capacity consideration, for any PDES problem. The performance of the partitioning algorithm is very important, to the overall simulation performance. There are two possible approaches to improve performance for the partitioning step: algorithm modifications; and parallelize the partitioning algorithm (Fiduccia and Mattheyses, 1982) is developed. The basic algorithm has been modified, first for parallel execution with a similar quality of final partition; and then further modified to increase the parallelism of the algorithm, at the expense of partition quality.","PeriodicalId":194781,"journal":{"name":"Workshop on Parallel and Distributed Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Parallel and Distributed Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/158459.158465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
The major goal of this work has been to develop an implementation of a parallel partitioning algorithm which is suitable for use in a conservatively synchronized Parallel Discrete Event Simulation (PDES) environment. Effective partitioning is essential for performance and capacity consideration, for any PDES problem. The performance of the partitioning algorithm is very important, to the overall simulation performance. There are two possible approaches to improve performance for the partitioning step: algorithm modifications; and parallelize the partitioning algorithm (Fiduccia and Mattheyses, 1982) is developed. The basic algorithm has been modified, first for parallel execution with a similar quality of final partition; and then further modified to increase the parallelism of the algorithm, at the expense of partition quality.
这项工作的主要目标是开发一种适用于保守同步并行离散事件模拟(PDES)环境的并行划分算法的实现。对于任何PDES问题,有效的分区对于性能和容量的考虑都是必不可少的。分区算法的性能对整个仿真性能的影响是非常重要的。有两种可能的方法可以提高分区步骤的性能:修改算法;并开发了并行化划分算法(Fiduccia and Mattheyses, 1982)。对基本算法进行了修改,首先是为了并行执行具有相似质量的最终分区;然后进一步修改以增加算法的并行性,代价是牺牲分区质量。