G. van der Plas, J. Vandenbussche, G. Gielen, W. Sansen
{"title":"在模拟自上而下的设计和合成中用于自动功率和面积估计的工具","authors":"G. van der Plas, J. Vandenbussche, G. Gielen, W. Sansen","doi":"10.1109/CICC.1997.606602","DOIUrl":null,"url":null,"abstract":"A novel methodology to derive power and area is presented. The method consists of the generation of a training set and a subsequent training of an Artificial Neural Network. The resulting estimators do not only predict power and area accurately and efficiently, they also reflect the complex interaction between different specifications. The method has been implemented in a tool, EsteMate, and is illustrated with practical examples.","PeriodicalId":111737,"journal":{"name":"Proceedings of CICC 97 - Custom Integrated Circuits Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"EsteMate: a tool for automated power and area estimation in analog top-down design and synthesis\",\"authors\":\"G. van der Plas, J. Vandenbussche, G. Gielen, W. Sansen\",\"doi\":\"10.1109/CICC.1997.606602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel methodology to derive power and area is presented. The method consists of the generation of a training set and a subsequent training of an Artificial Neural Network. The resulting estimators do not only predict power and area accurately and efficiently, they also reflect the complex interaction between different specifications. The method has been implemented in a tool, EsteMate, and is illustrated with practical examples.\",\"PeriodicalId\":111737,\"journal\":{\"name\":\"Proceedings of CICC 97 - Custom Integrated Circuits Conference\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of CICC 97 - Custom Integrated Circuits Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICC.1997.606602\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of CICC 97 - Custom Integrated Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICC.1997.606602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EsteMate: a tool for automated power and area estimation in analog top-down design and synthesis
A novel methodology to derive power and area is presented. The method consists of the generation of a training set and a subsequent training of an Artificial Neural Network. The resulting estimators do not only predict power and area accurately and efficiently, they also reflect the complex interaction between different specifications. The method has been implemented in a tool, EsteMate, and is illustrated with practical examples.
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