{"title":"数据传输的可扩展性","authors":"H. Jordan","doi":"10.1109/SHPCC.1992.232695","DOIUrl":null,"url":null,"abstract":"Peak floating point rate is a very limited way to characterize high performance computer systems. A better method is to use the bandwidth and latency of data transport for the major components of a system. Bandwidth scales well with increasing system size, but latency does not. The demands placed by a program on data transport determine how well an architecture will execute it. The article discusses two program metrics which describe latency characteristics of programs and shows how they can help optimize program structure.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Scalability of data transport\",\"authors\":\"H. Jordan\",\"doi\":\"10.1109/SHPCC.1992.232695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Peak floating point rate is a very limited way to characterize high performance computer systems. A better method is to use the bandwidth and latency of data transport for the major components of a system. Bandwidth scales well with increasing system size, but latency does not. The demands placed by a program on data transport determine how well an architecture will execute it. The article discusses two program metrics which describe latency characteristics of programs and shows how they can help optimize program structure.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHPCC.1992.232695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Peak floating point rate is a very limited way to characterize high performance computer systems. A better method is to use the bandwidth and latency of data transport for the major components of a system. Bandwidth scales well with increasing system size, but latency does not. The demands placed by a program on data transport determine how well an architecture will execute it. The article discusses two program metrics which describe latency characteristics of programs and shows how they can help optimize program structure.<>
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