{"title":"多核处理器平衡域分解方法的并行实现","authors":"M. Ogino, H. Kawai, R. Shioya, S. Yoshimura","doi":"10.1109/BWCCA.2010.48","DOIUrl":null,"url":null,"abstract":"To improve the total performance of a PC cluster or a supercomputer with multi-core scalar CPU, not only parallel efficiency among computational nodes or CPUs, but also efficient utilization of processor cores of CPU are becoming more important than ever before. In this paper, we implement the BDD method by three kinds of programming styles to evaluate parallel performance on a multi-core CPU node. We demonstrate some numerical examples using a multi-core CPU. Especially, by changing the design from memory access intensive approach to matrix storage-free one, the parallel performance is improved.","PeriodicalId":196401,"journal":{"name":"2010 International Conference on Broadband, Wireless Computing, Communication and Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallel Implementation of a Balancing Domain Decomposition Method for Multi-core Processors\",\"authors\":\"M. Ogino, H. Kawai, R. Shioya, S. Yoshimura\",\"doi\":\"10.1109/BWCCA.2010.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the total performance of a PC cluster or a supercomputer with multi-core scalar CPU, not only parallel efficiency among computational nodes or CPUs, but also efficient utilization of processor cores of CPU are becoming more important than ever before. In this paper, we implement the BDD method by three kinds of programming styles to evaluate parallel performance on a multi-core CPU node. We demonstrate some numerical examples using a multi-core CPU. Especially, by changing the design from memory access intensive approach to matrix storage-free one, the parallel performance is improved.\",\"PeriodicalId\":196401,\"journal\":{\"name\":\"2010 International Conference on Broadband, Wireless Computing, Communication and Applications\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Broadband, Wireless Computing, Communication and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BWCCA.2010.48\",\"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 International Conference on Broadband, Wireless Computing, Communication and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2010.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Implementation of a Balancing Domain Decomposition Method for Multi-core Processors
To improve the total performance of a PC cluster or a supercomputer with multi-core scalar CPU, not only parallel efficiency among computational nodes or CPUs, but also efficient utilization of processor cores of CPU are becoming more important than ever before. In this paper, we implement the BDD method by three kinds of programming styles to evaluate parallel performance on a multi-core CPU node. We demonstrate some numerical examples using a multi-core CPU. Especially, by changing the design from memory access intensive approach to matrix storage-free one, the parallel performance is improved.