{"title":"提高再合成的迭代能力","authors":"P. Fiser, Jan Schmidt","doi":"10.1109/DDECS.2012.6219019","DOIUrl":null,"url":null,"abstract":"We present a method of improving the iterative power of resynthesis of Boolean networks in this paper. In principle it is based on iterative resynthesis of parts of the network, instead of processing the network as a whole. The parts are randomly selected, thus more variability is introduced. The process is scalable, at least as much as the state-of-the-art. We show that our method performs better than the academic state-of-the-art, the ABC tool from Berkeley. This is documented by extensive experiments on LGSynth'93 benchmark circuits.","PeriodicalId":131623,"journal":{"name":"2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Improving the iterative power of resynthesis\",\"authors\":\"P. Fiser, Jan Schmidt\",\"doi\":\"10.1109/DDECS.2012.6219019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method of improving the iterative power of resynthesis of Boolean networks in this paper. In principle it is based on iterative resynthesis of parts of the network, instead of processing the network as a whole. The parts are randomly selected, thus more variability is introduced. The process is scalable, at least as much as the state-of-the-art. We show that our method performs better than the academic state-of-the-art, the ABC tool from Berkeley. This is documented by extensive experiments on LGSynth'93 benchmark circuits.\",\"PeriodicalId\":131623,\"journal\":{\"name\":\"2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDECS.2012.6219019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDECS.2012.6219019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a method of improving the iterative power of resynthesis of Boolean networks in this paper. In principle it is based on iterative resynthesis of parts of the network, instead of processing the network as a whole. The parts are randomly selected, thus more variability is introduced. The process is scalable, at least as much as the state-of-the-art. We show that our method performs better than the academic state-of-the-art, the ABC tool from Berkeley. This is documented by extensive experiments on LGSynth'93 benchmark circuits.