{"title":"等功率效率:一种在功率预算下扩展应用代码的方法","authors":"R. Long, S. Moore, B. Rountree","doi":"10.1109/IPDPSW.2015.122","DOIUrl":null,"url":null,"abstract":"We propose a new model for scaling applications with increasing power budget, which we call the iso-powerefficiency function. We show that viewing scaling in this way has advantages over the previously proposed is efficiency function that assumes all processors run at maximum power. Our experimental results show that over provisioning can result in better scaling under a power budget.","PeriodicalId":340697,"journal":{"name":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Iso-Power-Efficiency: An Approach to Scaling Application Codes with a Power Budget\",\"authors\":\"R. Long, S. Moore, B. Rountree\",\"doi\":\"10.1109/IPDPSW.2015.122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new model for scaling applications with increasing power budget, which we call the iso-powerefficiency function. We show that viewing scaling in this way has advantages over the previously proposed is efficiency function that assumes all processors run at maximum power. Our experimental results show that over provisioning can result in better scaling under a power budget.\",\"PeriodicalId\":340697,\"journal\":{\"name\":\"2015 IEEE International Parallel and Distributed Processing Symposium Workshop\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Parallel and Distributed Processing Symposium Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW.2015.122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2015.122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iso-Power-Efficiency: An Approach to Scaling Application Codes with a Power Budget
We propose a new model for scaling applications with increasing power budget, which we call the iso-powerefficiency function. We show that viewing scaling in this way has advantages over the previously proposed is efficiency function that assumes all processors run at maximum power. Our experimental results show that over provisioning can result in better scaling under a power budget.