{"title":"微软数据中心能源效率的异构计算和基础设施:扩展摘要","authors":"Derek Chiou","doi":"10.1145/2934583.2953982","DOIUrl":null,"url":null,"abstract":"This paper describes some of the ways heterogeneous computing, specifically FPGAs, is used in Microsoft data centers to improve energy efficiency and performance. Improved energy efficiency can have a significant effect on the viability of the data center in question. We discuss the Bing ranking application along with Azure networking infrastructure production projects.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Heterogeneous Computing and Infrastructure for Energy Efficiency in Microsoft Data Centers: Extended Abstract\",\"authors\":\"Derek Chiou\",\"doi\":\"10.1145/2934583.2953982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes some of the ways heterogeneous computing, specifically FPGAs, is used in Microsoft data centers to improve energy efficiency and performance. Improved energy efficiency can have a significant effect on the viability of the data center in question. We discuss the Bing ranking application along with Azure networking infrastructure production projects.\",\"PeriodicalId\":142716,\"journal\":{\"name\":\"Proceedings of the 2016 International Symposium on Low Power Electronics and Design\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2016 International Symposium on Low Power Electronics and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2934583.2953982\",\"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 of the 2016 International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2934583.2953982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heterogeneous Computing and Infrastructure for Energy Efficiency in Microsoft Data Centers: Extended Abstract
This paper describes some of the ways heterogeneous computing, specifically FPGAs, is used in Microsoft data centers to improve energy efficiency and performance. Improved energy efficiency can have a significant effect on the viability of the data center in question. We discuss the Bing ranking application along with Azure networking infrastructure production projects.