{"title":"次要内存引用在协作缓存中很重要","authors":"Xiaoming Gu","doi":"10.1145/1988915.1988927","DOIUrl":null,"url":null,"abstract":"Collaborative caching uses different caching methods, e. g., LRU and MRU, for data with good or poor locality. Poorlocality data are evicted by MRU quickly, leaving most cache space to hold good-locality data by LRU. In our previous study, we selected static memory references with poor locality to use MRU but neglected minor references, which are memory instructions that contribute no more than 0.1% total memory accesses. After removing this restriction, we found that three SPEC CPU benchmarks have on average 6.2 times fewer miss reduction or 9.8% reduction in absolute miss ratio.","PeriodicalId":130040,"journal":{"name":"Workshop on Memory System Performance and Correctness","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minor memory references matter in collaborative caching\",\"authors\":\"Xiaoming Gu\",\"doi\":\"10.1145/1988915.1988927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collaborative caching uses different caching methods, e. g., LRU and MRU, for data with good or poor locality. Poorlocality data are evicted by MRU quickly, leaving most cache space to hold good-locality data by LRU. In our previous study, we selected static memory references with poor locality to use MRU but neglected minor references, which are memory instructions that contribute no more than 0.1% total memory accesses. After removing this restriction, we found that three SPEC CPU benchmarks have on average 6.2 times fewer miss reduction or 9.8% reduction in absolute miss ratio.\",\"PeriodicalId\":130040,\"journal\":{\"name\":\"Workshop on Memory System Performance and Correctness\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Memory System Performance and Correctness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1988915.1988927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Memory System Performance and Correctness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1988915.1988927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minor memory references matter in collaborative caching
Collaborative caching uses different caching methods, e. g., LRU and MRU, for data with good or poor locality. Poorlocality data are evicted by MRU quickly, leaving most cache space to hold good-locality data by LRU. In our previous study, we selected static memory references with poor locality to use MRU but neglected minor references, which are memory instructions that contribute no more than 0.1% total memory accesses. After removing this restriction, we found that three SPEC CPU benchmarks have on average 6.2 times fewer miss reduction or 9.8% reduction in absolute miss ratio.