{"title":"Technology mapping for a two-output RAM-based field programmable gate array","authors":"D. Filo, J. C. Yang, F. Mailhot, G. Micheli","doi":"10.1109/EDAC.1991.206465","DOIUrl":null,"url":null,"abstract":"The authors present a new approach for performing technology mapping onto field programmable gate arrays (FPGAs). They consider one class of FPGAs, based on two-output five-input RAM-based cells, that are used to implement combinational logic functions. A heuristic algorithm is described for technology mapping that performs a decomposition of the circuit in the FPGA primitives, driven by the information on logic functional sharing. The authors have implemented the algorithm in the program Hydra. Experimental results shows an average of 20% to 25% improvement over other existing programs in mapping area and 67-fold speedup in computing time.<<ETX>>","PeriodicalId":425087,"journal":{"name":"Proceedings of the European Conference on Design Automation.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the European Conference on Design Automation.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAC.1991.206465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 58
Abstract
The authors present a new approach for performing technology mapping onto field programmable gate arrays (FPGAs). They consider one class of FPGAs, based on two-output five-input RAM-based cells, that are used to implement combinational logic functions. A heuristic algorithm is described for technology mapping that performs a decomposition of the circuit in the FPGA primitives, driven by the information on logic functional sharing. The authors have implemented the algorithm in the program Hydra. Experimental results shows an average of 20% to 25% improvement over other existing programs in mapping area and 67-fold speedup in computing time.<>