Philipp Degasperi, Stefan Hepp, Wolfgang Puffitsch, Martin Schoeberl
{"title":"Patmos的方法缓存","authors":"Philipp Degasperi, Stefan Hepp, Wolfgang Puffitsch, Martin Schoeberl","doi":"10.1109/ISORC.2014.47","DOIUrl":null,"url":null,"abstract":"For real-time systems we need time-predictable processors. This paper presents a method cache as a time-predictable solution for instruction caching. The method cache caches whole methods (or functions) and simplifies worst-case execution time analysis. We have integrated the method cache in the time-predictable processor Patmos. We evaluate the method cache with a large set of embedded benchmarks. Most benchmarks show a good hit rate for a method cache size in the range between 4 and 16 KB.","PeriodicalId":217568,"journal":{"name":"2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"A Method Cache for Patmos\",\"authors\":\"Philipp Degasperi, Stefan Hepp, Wolfgang Puffitsch, Martin Schoeberl\",\"doi\":\"10.1109/ISORC.2014.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For real-time systems we need time-predictable processors. This paper presents a method cache as a time-predictable solution for instruction caching. The method cache caches whole methods (or functions) and simplifies worst-case execution time analysis. We have integrated the method cache in the time-predictable processor Patmos. We evaluate the method cache with a large set of embedded benchmarks. Most benchmarks show a good hit rate for a method cache size in the range between 4 and 16 KB.\",\"PeriodicalId\":217568,\"journal\":{\"name\":\"2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISORC.2014.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC.2014.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For real-time systems we need time-predictable processors. This paper presents a method cache as a time-predictable solution for instruction caching. The method cache caches whole methods (or functions) and simplifies worst-case execution time analysis. We have integrated the method cache in the time-predictable processor Patmos. We evaluate the method cache with a large set of embedded benchmarks. Most benchmarks show a good hit rate for a method cache size in the range between 4 and 16 KB.