{"title":"低功耗技术映射的精确门分解算法","authors":"H. Zhou, Martin D. F. Wong","doi":"10.1109/ICCAD.1997.643597","DOIUrl":null,"url":null,"abstract":"With the remarkable growth of portable application and the increasing frequency and integration density, power is being given comparable weight to speed and area in IC designs. In technology mapping, how decomposition is done can have a significant impact on the power dissipation of the final implementation. In the literature, only heuristic algorithms are given for the low power gate decomposition problem. We prove many properties an optimal decomposition tree must have. Based on these optimality properties, we design an efficient exact algorithm to solve the low power gate decomposition problem. Moreover the exact algorithm can be easily modified to a heuristic algorithm which performs much better than the known heuristics.","PeriodicalId":187521,"journal":{"name":"1997 Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"An exact gate decomposition algorithm for low-power technology mapping\",\"authors\":\"H. Zhou, Martin D. F. Wong\",\"doi\":\"10.1109/ICCAD.1997.643597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the remarkable growth of portable application and the increasing frequency and integration density, power is being given comparable weight to speed and area in IC designs. In technology mapping, how decomposition is done can have a significant impact on the power dissipation of the final implementation. In the literature, only heuristic algorithms are given for the low power gate decomposition problem. We prove many properties an optimal decomposition tree must have. Based on these optimality properties, we design an efficient exact algorithm to solve the low power gate decomposition problem. Moreover the exact algorithm can be easily modified to a heuristic algorithm which performs much better than the known heuristics.\",\"PeriodicalId\":187521,\"journal\":{\"name\":\"1997 Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAD.1997.643597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1997.643597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An exact gate decomposition algorithm for low-power technology mapping
With the remarkable growth of portable application and the increasing frequency and integration density, power is being given comparable weight to speed and area in IC designs. In technology mapping, how decomposition is done can have a significant impact on the power dissipation of the final implementation. In the literature, only heuristic algorithms are given for the low power gate decomposition problem. We prove many properties an optimal decomposition tree must have. Based on these optimality properties, we design an efficient exact algorithm to solve the low power gate decomposition problem. Moreover the exact algorithm can be easily modified to a heuristic algorithm which performs much better than the known heuristics.