{"title":"An Approach to a Fully Automated Partial Reconfiguration Design Flow","authors":"Kizheppatt Vipin, Suhaib A. Fahmy","doi":"10.1109/FCCM.2013.33","DOIUrl":null,"url":null,"abstract":"Adoption of partial reconfiguration (PR) in mainstream FPGA system design remains underwhelming primarily due the significant FPGA design expertise that is required. We present an approach to fully automating a design flow that accepts a high level description of a dynamically adaptive application and generates a fully functional, optimised PR design. This tool can determine the most suitable FPGA for a design to meet a given reconfiguration time constraint and makes full use of available resources. The flow targets adaptive systems, where the dynamic behaviour and switching order are not known up front.","PeriodicalId":269887,"journal":{"name":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2013.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Adoption of partial reconfiguration (PR) in mainstream FPGA system design remains underwhelming primarily due the significant FPGA design expertise that is required. We present an approach to fully automating a design flow that accepts a high level description of a dynamically adaptive application and generates a fully functional, optimised PR design. This tool can determine the most suitable FPGA for a design to meet a given reconfiguration time constraint and makes full use of available resources. The flow targets adaptive systems, where the dynamic behaviour and switching order are not known up front.