{"title":"Computational bit-width allocation for operations in vector calculus","authors":"A. Kinsman, N. Nicolici","doi":"10.1109/ICCD.2009.5413121","DOIUrl":null,"url":null,"abstract":"Automated bit-width allocation is a key step required for the design of hardware accelerators. The use of computational methods based on SAT-Modulo Theory to the problem of finite-precision bit-width allocation has recently been shown to overcome challenges faced by the known-art, particularly in the scientific computing domain. However, many such real-life applications are specified in terms of vectors and matrices and they are rendered infeasible by expansion into scalar equations. This paper proposes a framework to include operations from vector calculus and thus it enables tackling applications of practically relevant complexity.","PeriodicalId":256908,"journal":{"name":"2009 IEEE International Conference on Computer Design","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Computer Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2009.5413121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Automated bit-width allocation is a key step required for the design of hardware accelerators. The use of computational methods based on SAT-Modulo Theory to the problem of finite-precision bit-width allocation has recently been shown to overcome challenges faced by the known-art, particularly in the scientific computing domain. However, many such real-life applications are specified in terms of vectors and matrices and they are rendered infeasible by expansion into scalar equations. This paper proposes a framework to include operations from vector calculus and thus it enables tackling applications of practically relevant complexity.