{"title":"在单多核系统上使用并行计算减少基于随机模拟的优化计算时间","authors":"Mohammed Mawlana, A. Hammad","doi":"10.1109/WSC.2016.7822356","DOIUrl":null,"url":null,"abstract":"This paper presents a framework for implementing a simulation-based optimization model in a parallel computing environment on a single multi-core processor. The behavior of the model with multicore architecture is studied. In addition, the impact of multithreading on the performance of simulation-based optimization is examined. The framework is implemented using the master/slave paradigm. A case study is used to demonstrate the benefits of the proposed framework.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reducing computation time of stochastic simulation-based optimization using parallel computing on a single mutli-core system\",\"authors\":\"Mohammed Mawlana, A. Hammad\",\"doi\":\"10.1109/WSC.2016.7822356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a framework for implementing a simulation-based optimization model in a parallel computing environment on a single multi-core processor. The behavior of the model with multicore architecture is studied. In addition, the impact of multithreading on the performance of simulation-based optimization is examined. The framework is implemented using the master/slave paradigm. A case study is used to demonstrate the benefits of the proposed framework.\",\"PeriodicalId\":367269,\"journal\":{\"name\":\"2016 Winter Simulation Conference (WSC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Winter Simulation Conference (WSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSC.2016.7822356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Winter Simulation Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2016.7822356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing computation time of stochastic simulation-based optimization using parallel computing on a single mutli-core system
This paper presents a framework for implementing a simulation-based optimization model in a parallel computing environment on a single multi-core processor. The behavior of the model with multicore architecture is studied. In addition, the impact of multithreading on the performance of simulation-based optimization is examined. The framework is implemented using the master/slave paradigm. A case study is used to demonstrate the benefits of the proposed framework.