Nobuhiro Doi, T. Horiyama, M. Nakanishi, S. Kimura
{"title":"Minimization of fractional wordlength on fixed-point conversion for high-level synthesis","authors":"Nobuhiro Doi, T. Horiyama, M. Nakanishi, S. Kimura","doi":"10.1109/ASPDAC.2004.1337544","DOIUrl":null,"url":null,"abstract":"In the hardware synthesis from high-level language such as C, bit length of variables is one of the key issues on the area and speed optimization. Usually, designers are required to specify the word length of each variable manually, and verify the correctness by the simulation on huge data. We propose an optimization method of fractional word length of floating-point variables in the floating to fixed-point conversion of variables. The amount of round-off errors are formulated with parameters and propagated via data flow graphs. The nonlinear programming is used to solve the fractional word length minimization problem. The method does not require the simulation on huge data, and is very fast compared to ones based on the simulation. We have shown the effect on several programs.","PeriodicalId":426349,"journal":{"name":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2004.1337544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
In the hardware synthesis from high-level language such as C, bit length of variables is one of the key issues on the area and speed optimization. Usually, designers are required to specify the word length of each variable manually, and verify the correctness by the simulation on huge data. We propose an optimization method of fractional word length of floating-point variables in the floating to fixed-point conversion of variables. The amount of round-off errors are formulated with parameters and propagated via data flow graphs. The nonlinear programming is used to solve the fractional word length minimization problem. The method does not require the simulation on huge data, and is very fast compared to ones based on the simulation. We have shown the effect on several programs.