{"title":"量化科学应用中数据移动的能量成本","authors":"Gokcen Kestor, R. Gioiosa, D. Kerbyson, A. Hoisie","doi":"10.1109/IISWC.2013.6704670","DOIUrl":null,"url":null,"abstract":"In the exascale era, the energy cost of moving data across the memory hierarchy is expected to be two orders of magnitude higher than the cost of performing a double-precision floating point operation. Despite its importance, the energy cost of data movement in scientific applications has not be quantitatively evaluated even for current systems.","PeriodicalId":365868,"journal":{"name":"2013 IEEE International Symposium on Workload Characterization (IISWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"110","resultStr":"{\"title\":\"Quantifying the energy cost of data movement in scientific applications\",\"authors\":\"Gokcen Kestor, R. Gioiosa, D. Kerbyson, A. Hoisie\",\"doi\":\"10.1109/IISWC.2013.6704670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the exascale era, the energy cost of moving data across the memory hierarchy is expected to be two orders of magnitude higher than the cost of performing a double-precision floating point operation. Despite its importance, the energy cost of data movement in scientific applications has not be quantitatively evaluated even for current systems.\",\"PeriodicalId\":365868,\"journal\":{\"name\":\"2013 IEEE International Symposium on Workload Characterization (IISWC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"110\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Workload Characterization (IISWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISWC.2013.6704670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Workload Characterization (IISWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISWC.2013.6704670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying the energy cost of data movement in scientific applications
In the exascale era, the energy cost of moving data across the memory hierarchy is expected to be two orders of magnitude higher than the cost of performing a double-precision floating point operation. Despite its importance, the energy cost of data movement in scientific applications has not be quantitatively evaluated even for current systems.
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