{"title":"Function unit specialization through code analysis","authors":"Dan Benyamin, W. Mangione-Smith","doi":"10.1109/ICCAD.1999.810658","DOIUrl":null,"url":null,"abstract":"Many previous attempts at ASIP (application-specific instruction set processor) synthesis have employed template matching techniques to target function units to application code, or directly design new units to extract maximum performance. This paper presents an entirely new approach to specializing hardware for application-specific needs. In our framework of a parameterized VLIW processor, we use a post-modulo scheduling analysis to reduce the allocated hardware resources while increasing the code's performance. Initial results indicate significant savings in area, as well as optimizations to increase FIR filter code performance by 200% to 300%.","PeriodicalId":6414,"journal":{"name":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1999-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1999.810658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Many previous attempts at ASIP (application-specific instruction set processor) synthesis have employed template matching techniques to target function units to application code, or directly design new units to extract maximum performance. This paper presents an entirely new approach to specializing hardware for application-specific needs. In our framework of a parameterized VLIW processor, we use a post-modulo scheduling analysis to reduce the allocated hardware resources while increasing the code's performance. Initial results indicate significant savings in area, as well as optimizations to increase FIR filter code performance by 200% to 300%.