{"title":"多核平台的直接n体内核","authors":"Nitin Arora, A. Shringarpure, R. Vuduc","doi":"10.1109/ICPP.2009.71","DOIUrl":null,"url":null,"abstract":"We present an inter-architectural comparison of single-and double-precision direct n-body implementations on modern multicore platforms, including those based on the Intel Nehalem and AMD Barcelona systems, the Sony-Toshiba-IBM PowerXCell/8i processor, and NVIDA Tesla C870 and C1060 GPU systems. We compare our implementations across platforms on a variety of proxy measures, including performance, coding complexity, and energy efficiency.","PeriodicalId":169408,"journal":{"name":"2009 International Conference on Parallel Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"41","resultStr":"{\"title\":\"Direct N-body Kernels for Multicore Platforms\",\"authors\":\"Nitin Arora, A. Shringarpure, R. Vuduc\",\"doi\":\"10.1109/ICPP.2009.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an inter-architectural comparison of single-and double-precision direct n-body implementations on modern multicore platforms, including those based on the Intel Nehalem and AMD Barcelona systems, the Sony-Toshiba-IBM PowerXCell/8i processor, and NVIDA Tesla C870 and C1060 GPU systems. We compare our implementations across platforms on a variety of proxy measures, including performance, coding complexity, and energy efficiency.\",\"PeriodicalId\":169408,\"journal\":{\"name\":\"2009 International Conference on Parallel Processing\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"41\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2009.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2009.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 41
摘要
我们提出了现代多核平台上单精度和双精度直接n体实现的架构间比较，包括基于英特尔Nehalem和AMD Barcelona系统，索尼-东芝- ibm PowerXCell/8i处理器以及nvidia Tesla C870和C1060 GPU系统的实现。我们在各种代理度量上比较了我们跨平台的实现，包括性能、编码复杂性和能源效率。
We present an inter-architectural comparison of single-and double-precision direct n-body implementations on modern multicore platforms, including those based on the Intel Nehalem and AMD Barcelona systems, the Sony-Toshiba-IBM PowerXCell/8i processor, and NVIDA Tesla C870 and C1060 GPU systems. We compare our implementations across platforms on a variety of proxy measures, including performance, coding complexity, and energy efficiency.
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