{"title":"Utilizing memory bandwidth in DSP embedded processors","authors":"C. Gebotys","doi":"10.1145/378239.378520","DOIUrl":null,"url":null,"abstract":"This paper presents a network flow approach to solving the register binding and allocation problem for multi word memory access DSP processors. In recently announced DSP processors, such as Star*core, sixteen bit instructions which simultaneously access four words from memory are supported. A polynomial-time network flow methodology is used to allocate multiword accesses while minimizing code size. Results show that improvements of up to 87% in terms of memory bandwidth (and up to 30% reduction in energy dissipation) are obtained compared to compiler-generated DSP code. This research is important for industry since this value-added technique can increase memory bandwidths and minimize code size without increasing cost.","PeriodicalId":154316,"journal":{"name":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/378239.378520","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
This paper presents a network flow approach to solving the register binding and allocation problem for multi word memory access DSP processors. In recently announced DSP processors, such as Star*core, sixteen bit instructions which simultaneously access four words from memory are supported. A polynomial-time network flow methodology is used to allocate multiword accesses while minimizing code size. Results show that improvements of up to 87% in terms of memory bandwidth (and up to 30% reduction in energy dissipation) are obtained compared to compiler-generated DSP code. This research is important for industry since this value-added technique can increase memory bandwidths and minimize code size without increasing cost.