Yoonjin Kim, Mary Kiemb, Chul-Hong Park, Jinyong Jung, Kiyoung Choi
{"title":"Resource sharing and pipelining in coarse-grained reconfigurable architecture for domain-specific optimization","authors":"Yoonjin Kim, Mary Kiemb, Chul-Hong Park, Jinyong Jung, Kiyoung Choi","doi":"10.1109/DATE.2005.260","DOIUrl":null,"url":null,"abstract":"Coarse-grained reconfigurable architectures aim to achieve goals of both high performance and flexibility. However, existing reconfigurable array architectures require many resources without considering the specific application domain. Functional resources that take long latency and/or large area can be pipelined and/or shared among the processing elements. Therefore, the hardware cost and the delay can be effectively reduced without any performance degradation for some application domains. We suggest such a reconfigurable array architecture template and a design space exploration flow for domain-specific optimization. Experimental results show that our approach is much more efficient, in both performance and area, compared to existing reconfigurable architectures.","PeriodicalId":205976,"journal":{"name":"Design, Automation and Test in Europe","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"99","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Design, Automation and Test in Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DATE.2005.260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 99
Abstract
Coarse-grained reconfigurable architectures aim to achieve goals of both high performance and flexibility. However, existing reconfigurable array architectures require many resources without considering the specific application domain. Functional resources that take long latency and/or large area can be pipelined and/or shared among the processing elements. Therefore, the hardware cost and the delay can be effectively reduced without any performance degradation for some application domains. We suggest such a reconfigurable array architecture template and a design space exploration flow for domain-specific optimization. Experimental results show that our approach is much more efficient, in both performance and area, compared to existing reconfigurable architectures.