{"title":"一种基于zbdd的可扩展阈值逻辑合成方法","authors":"Ashok Kumar Palaniswamy, S. Tragoudas","doi":"10.1145/2206781.2206856","DOIUrl":null,"url":null,"abstract":"A scalable synthesis method for large input threshold logic circuits using Zero Suppressed Binary Decision Diagrams is introduced. Existing synthesis methods require that a large input function must be initially decomposed using small input functions and this impacts the synthesis cost. The presented approach in this paper does not consider such restrictions. It is experimentally shown that the proposed method can synthesize the primary outputs of existing benchmarks without consulting the net-list, and the synthesis cost is significantly reduced over the existing methods.","PeriodicalId":272619,"journal":{"name":"ACM Great Lakes Symposium on VLSI","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A scalable threshold logic synthesis method using ZBDDs\",\"authors\":\"Ashok Kumar Palaniswamy, S. Tragoudas\",\"doi\":\"10.1145/2206781.2206856\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A scalable synthesis method for large input threshold logic circuits using Zero Suppressed Binary Decision Diagrams is introduced. Existing synthesis methods require that a large input function must be initially decomposed using small input functions and this impacts the synthesis cost. The presented approach in this paper does not consider such restrictions. It is experimentally shown that the proposed method can synthesize the primary outputs of existing benchmarks without consulting the net-list, and the synthesis cost is significantly reduced over the existing methods.\",\"PeriodicalId\":272619,\"journal\":{\"name\":\"ACM Great Lakes Symposium on VLSI\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Great Lakes Symposium on VLSI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2206781.2206856\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2206781.2206856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A scalable threshold logic synthesis method using ZBDDs
A scalable synthesis method for large input threshold logic circuits using Zero Suppressed Binary Decision Diagrams is introduced. Existing synthesis methods require that a large input function must be initially decomposed using small input functions and this impacts the synthesis cost. The presented approach in this paper does not consider such restrictions. It is experimentally shown that the proposed method can synthesize the primary outputs of existing benchmarks without consulting the net-list, and the synthesis cost is significantly reduced over the existing methods.