Marco Rabozzi, Riccardo Cattaneo, Tobias Becker, W. Luk, M. Santambrogio
{"title":"Relocation-Aware Floorplanning for Partially-Reconfigurable FPGA-Based Systems","authors":"Marco Rabozzi, Riccardo Cattaneo, Tobias Becker, W. Luk, M. Santambrogio","doi":"10.1109/IPDPSW.2015.52","DOIUrl":null,"url":null,"abstract":"Within this paper we present a floor planner for partially-reconfigurable FPGAs that allow the designer to consider bit stream relocation constraints during the design of the system. The presented approach is an extension of our previous work on floor planning based on a Mixed-Integer Linear Programming (MILP) formulation, thus allowing the designer to optimize a set of different metrics within a user defined objective function while considering preferences related directly to relocation capabilities. Experimental results shows that the presented approach is able to reserve multiple free areas for a reconfigurable region with a small impact on the solution cost in terms of wire length and size of the configuration data.","PeriodicalId":340697,"journal":{"name":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Parallel and Distributed Processing Symposium Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2015.52","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
Within this paper we present a floor planner for partially-reconfigurable FPGAs that allow the designer to consider bit stream relocation constraints during the design of the system. The presented approach is an extension of our previous work on floor planning based on a Mixed-Integer Linear Programming (MILP) formulation, thus allowing the designer to optimize a set of different metrics within a user defined objective function while considering preferences related directly to relocation capabilities. Experimental results shows that the presented approach is able to reserve multiple free areas for a reconfigurable region with a small impact on the solution cost in terms of wire length and size of the configuration data.