{"title":"Datapath merging and interconnection sharing for reconfigurable architectures","authors":"G. Araújo, S. Malik, Zhining Huang, N. Moreano","doi":"10.1145/581199.581210","DOIUrl":null,"url":null,"abstract":"Recent work in reconfigurable computing research has shown that a substantial performance speedup can be achieved through architectures that map the most relevant application inner-loops to a reconfigurable datapath. Any solution to this problem must be able to synthesize a datapath for each loop and to merge them together into a single reconfigurable datapath. The main contribution of this paper is a novel graph-based technique for the datapath merge problem. This approach is based on the solution of a maximum clique problem that merges datapaths one at a time. A set of experiments, using the MediaBench benchmark, shows that the proposed technique produces 24% fewer datapath interconnections than a previous solution to this problem.","PeriodicalId":413693,"journal":{"name":"15th International Symposium on System Synthesis, 2002.","volume":"274 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th International Symposium on System Synthesis, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/581199.581210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
Recent work in reconfigurable computing research has shown that a substantial performance speedup can be achieved through architectures that map the most relevant application inner-loops to a reconfigurable datapath. Any solution to this problem must be able to synthesize a datapath for each loop and to merge them together into a single reconfigurable datapath. The main contribution of this paper is a novel graph-based technique for the datapath merge problem. This approach is based on the solution of a maximum clique problem that merges datapaths one at a time. A set of experiments, using the MediaBench benchmark, shows that the proposed technique produces 24% fewer datapath interconnections than a previous solution to this problem.