{"title":"人工智能在超大规模集成电路领域的应用综述","authors":"Archika Malhotra, Aditi Singh","doi":"10.1109/ICPC2T53885.2022.9776845","DOIUrl":null,"url":null,"abstract":"The Very Large Scale Integration (VLSI) industry has started adapting the Artificial Intelligence (AI) techniques in design automation as it provides the opportunity to transform the whole chip design methodology. It has been seen that in System-On-Chip (SoC), in order to add ML algorithms to increase its efficiency, there is a need to reduce the existing power consumption of the hardware as well. Hence, this makes AI an integral part of the VLSI industry. With this in mind, an extensive review has been conducted on various aspects of AI in the field of VLSI. This paper throws light on how AI has marked its way on various subfields of VLSI, namely, analog, digital and physical design. We have also taken into account the recent machine learning and deep learning techniques incorporated in VLSI.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of AI in the field of VLSI: A Review\",\"authors\":\"Archika Malhotra, Aditi Singh\",\"doi\":\"10.1109/ICPC2T53885.2022.9776845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Very Large Scale Integration (VLSI) industry has started adapting the Artificial Intelligence (AI) techniques in design automation as it provides the opportunity to transform the whole chip design methodology. It has been seen that in System-On-Chip (SoC), in order to add ML algorithms to increase its efficiency, there is a need to reduce the existing power consumption of the hardware as well. Hence, this makes AI an integral part of the VLSI industry. With this in mind, an extensive review has been conducted on various aspects of AI in the field of VLSI. This paper throws light on how AI has marked its way on various subfields of VLSI, namely, analog, digital and physical design. We have also taken into account the recent machine learning and deep learning techniques incorporated in VLSI.\",\"PeriodicalId\":283298,\"journal\":{\"name\":\"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPC2T53885.2022.9776845\",\"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 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC2T53885.2022.9776845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of AI in the field of VLSI: A Review
The Very Large Scale Integration (VLSI) industry has started adapting the Artificial Intelligence (AI) techniques in design automation as it provides the opportunity to transform the whole chip design methodology. It has been seen that in System-On-Chip (SoC), in order to add ML algorithms to increase its efficiency, there is a need to reduce the existing power consumption of the hardware as well. Hence, this makes AI an integral part of the VLSI industry. With this in mind, an extensive review has been conducted on various aspects of AI in the field of VLSI. This paper throws light on how AI has marked its way on various subfields of VLSI, namely, analog, digital and physical design. We have also taken into account the recent machine learning and deep learning techniques incorporated in VLSI.