{"title":"关于循环缓存、代码压缩和缓存配置的相互作用","authors":"M. Rawlins, A. Gordon-Ross","doi":"10.1109/ASPDAC.2011.5722191","DOIUrl":null,"url":null,"abstract":"Even though much previous work explores varying instruction cache optimization techniques individually, little work explores the combined effects of these techniques (i.e., do they complement or obviate each other). In this paper we explore the interaction of three optimizations: loop caching, cache tuning, and code compression. Results show that loop caching increases energy savings by as much as 26% compared to cache tuning alone and reduces decompression energy by as much as 73%.","PeriodicalId":316253,"journal":{"name":"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"On the interplay of loop caching, code compression, and cache configuration\",\"authors\":\"M. Rawlins, A. Gordon-Ross\",\"doi\":\"10.1109/ASPDAC.2011.5722191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Even though much previous work explores varying instruction cache optimization techniques individually, little work explores the combined effects of these techniques (i.e., do they complement or obviate each other). In this paper we explore the interaction of three optimizations: loop caching, cache tuning, and code compression. Results show that loop caching increases energy savings by as much as 26% compared to cache tuning alone and reduces decompression energy by as much as 73%.\",\"PeriodicalId\":316253,\"journal\":{\"name\":\"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2011.5722191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2011.5722191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the interplay of loop caching, code compression, and cache configuration
Even though much previous work explores varying instruction cache optimization techniques individually, little work explores the combined effects of these techniques (i.e., do they complement or obviate each other). In this paper we explore the interaction of three optimizations: loop caching, cache tuning, and code compression. Results show that loop caching increases energy savings by as much as 26% compared to cache tuning alone and reduces decompression energy by as much as 73%.