{"title":"2022年ICCAD设计竞赛题目C:微建筑设计空间探索","authors":"Sicheng Li, Chen Bai, Xuechao Wei, Bizhao Shi, Yen-Kuang Chen, Yuan Xie","doi":"10.1145/3508352.3561109","DOIUrl":null,"url":null,"abstract":"It is vital to select microarchitectures to achieve good trade-offs between performance, power, and area in the chip development cycle. Combining high-level hardware description languages and optimization of electronic design automation tools empowers microarchitecture exploration at the circuit level. Due to the extremely large design space and high runtime cost to evaluate a microarchitecture, ICCAD 2022 CAD Contest Problem C calls for an effective design space exploration algorithm to solve the problem. We formulate the research topic as a contest problem and provide benchmark suites, contest benchmark platforms, etc., for all contestants to innovate and estimate their algorithms.","PeriodicalId":270592,"journal":{"name":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","volume":"14 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration\",\"authors\":\"Sicheng Li, Chen Bai, Xuechao Wei, Bizhao Shi, Yen-Kuang Chen, Yuan Xie\",\"doi\":\"10.1145/3508352.3561109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is vital to select microarchitectures to achieve good trade-offs between performance, power, and area in the chip development cycle. Combining high-level hardware description languages and optimization of electronic design automation tools empowers microarchitecture exploration at the circuit level. Due to the extremely large design space and high runtime cost to evaluate a microarchitecture, ICCAD 2022 CAD Contest Problem C calls for an effective design space exploration algorithm to solve the problem. We formulate the research topic as a contest problem and provide benchmark suites, contest benchmark platforms, etc., for all contestants to innovate and estimate their algorithms.\",\"PeriodicalId\":270592,\"journal\":{\"name\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"volume\":\"14 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508352.3561109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508352.3561109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration
It is vital to select microarchitectures to achieve good trade-offs between performance, power, and area in the chip development cycle. Combining high-level hardware description languages and optimization of electronic design automation tools empowers microarchitecture exploration at the circuit level. Due to the extremely large design space and high runtime cost to evaluate a microarchitecture, ICCAD 2022 CAD Contest Problem C calls for an effective design space exploration algorithm to solve the problem. We formulate the research topic as a contest problem and provide benchmark suites, contest benchmark platforms, etc., for all contestants to innovate and estimate their algorithms.