{"title":"硬件/软件协同设计中有效的软件性能评估方法","authors":"Kei Suzuki, A. Sangiovanni-Vincentelli","doi":"10.1145/240518.240633","DOIUrl":null,"url":null,"abstract":"The performance estimation of a target system at a higher level of abstraction is very important in hardware/software codesign. We focus on software performance estimation, including both the execution time and the code size. We present two estimation methods at different levels of abstraction for use in the POLIS hardware/software codesign system. The experimental results show that the accuracy of our methods is usually within /spl plusmn/20%.","PeriodicalId":152966,"journal":{"name":"33rd Design Automation Conference Proceedings, 1996","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"98","resultStr":"{\"title\":\"Efficient software performance estimation methods for hardware/software codesign\",\"authors\":\"Kei Suzuki, A. Sangiovanni-Vincentelli\",\"doi\":\"10.1145/240518.240633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance estimation of a target system at a higher level of abstraction is very important in hardware/software codesign. We focus on software performance estimation, including both the execution time and the code size. We present two estimation methods at different levels of abstraction for use in the POLIS hardware/software codesign system. The experimental results show that the accuracy of our methods is usually within /spl plusmn/20%.\",\"PeriodicalId\":152966,\"journal\":{\"name\":\"33rd Design Automation Conference Proceedings, 1996\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"98\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"33rd Design Automation Conference Proceedings, 1996\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/240518.240633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"33rd Design Automation Conference Proceedings, 1996","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/240518.240633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient software performance estimation methods for hardware/software codesign
The performance estimation of a target system at a higher level of abstraction is very important in hardware/software codesign. We focus on software performance estimation, including both the execution time and the code size. We present two estimation methods at different levels of abstraction for use in the POLIS hardware/software codesign system. The experimental results show that the accuracy of our methods is usually within /spl plusmn/20%.