{"title":"利用宏观数据负载减少缓存流量和能量","authors":"Lei Jin, Sangyeun Cho","doi":"10.1145/1165573.1165608","DOIUrl":null,"url":null,"abstract":"This paper presents a study on macro data load, an efficient mechanism to enhance loaded value reuse. A macro data load brings into the processor a maximum-width data value the cache port allows, saves it in an internal structure, and facilitates reuse by later loads. A comprehensive limit study using a generalized memory value reuse table (MVRT) shows the significantly increased reuse opportunities provided by macro data load. We also describe a modified load store queue design as an implementation of the proposed concept. Our quantitative study shows that over 35% of L1 cache accesses in the SPEC2k integer and MiBench programs can be eliminated, resulting in a related energy reduction of 24% and 35% on average, respectively","PeriodicalId":119229,"journal":{"name":"ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Reducing Cache Traffic and Energy with Macro Data Load\",\"authors\":\"Lei Jin, Sangyeun Cho\",\"doi\":\"10.1145/1165573.1165608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a study on macro data load, an efficient mechanism to enhance loaded value reuse. A macro data load brings into the processor a maximum-width data value the cache port allows, saves it in an internal structure, and facilitates reuse by later loads. A comprehensive limit study using a generalized memory value reuse table (MVRT) shows the significantly increased reuse opportunities provided by macro data load. We also describe a modified load store queue design as an implementation of the proposed concept. Our quantitative study shows that over 35% of L1 cache accesses in the SPEC2k integer and MiBench programs can be eliminated, resulting in a related energy reduction of 24% and 35% on average, respectively\",\"PeriodicalId\":119229,\"journal\":{\"name\":\"ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1165573.1165608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1165573.1165608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing Cache Traffic and Energy with Macro Data Load
This paper presents a study on macro data load, an efficient mechanism to enhance loaded value reuse. A macro data load brings into the processor a maximum-width data value the cache port allows, saves it in an internal structure, and facilitates reuse by later loads. A comprehensive limit study using a generalized memory value reuse table (MVRT) shows the significantly increased reuse opportunities provided by macro data load. We also describe a modified load store queue design as an implementation of the proposed concept. Our quantitative study shows that over 35% of L1 cache accesses in the SPEC2k integer and MiBench programs can be eliminated, resulting in a related energy reduction of 24% and 35% on average, respectively