{"title":"基于OpenMP的GAA并行","authors":"Chengdong Pu, Sicheng Chen","doi":"10.1109/ChinaGrid.2010.11","DOIUrl":null,"url":null,"abstract":"With a peak speed of 280.6 TFlops/s IBM BlueGene/L cluster putting into use, high-performance computers are faced with the rapid development and dual-core processor computers allow users to face the emergence of ubiquitous parallel. How to change existing serial algorithms into parallel algorithms and how to implement parallel algorithms on multi-core computer are urgent task for the development of high-performance computing. This paper tries to parallel genetic annealing algorithm (GAA) by using OpenMP on four-core compute, and experiment result shows that the performance has been significantly improved.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":" 27","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Parallel of GAA by OpenMP\",\"authors\":\"Chengdong Pu, Sicheng Chen\",\"doi\":\"10.1109/ChinaGrid.2010.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With a peak speed of 280.6 TFlops/s IBM BlueGene/L cluster putting into use, high-performance computers are faced with the rapid development and dual-core processor computers allow users to face the emergence of ubiquitous parallel. How to change existing serial algorithms into parallel algorithms and how to implement parallel algorithms on multi-core computer are urgent task for the development of high-performance computing. This paper tries to parallel genetic annealing algorithm (GAA) by using OpenMP on four-core compute, and experiment result shows that the performance has been significantly improved.\",\"PeriodicalId\":429657,\"journal\":{\"name\":\"2010 Fifth Annual ChinaGrid Conference\",\"volume\":\" 27\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fifth Annual ChinaGrid Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaGrid.2010.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth Annual ChinaGrid Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaGrid.2010.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With a peak speed of 280.6 TFlops/s IBM BlueGene/L cluster putting into use, high-performance computers are faced with the rapid development and dual-core processor computers allow users to face the emergence of ubiquitous parallel. How to change existing serial algorithms into parallel algorithms and how to implement parallel algorithms on multi-core computer are urgent task for the development of high-performance computing. This paper tries to parallel genetic annealing algorithm (GAA) by using OpenMP on four-core compute, and experiment result shows that the performance has been significantly improved.
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