Pub Date : 2024-10-25DOI: 10.1109/TCSI.2024.3469775
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Pub Date : 2024-10-25DOI: 10.1109/TCSI.2024.3471029
Xinmiao Zhang
{"title":"Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems—ISICAS 2024","authors":"Xinmiao Zhang","doi":"10.1109/TCSI.2024.3471029","DOIUrl":"https://doi.org/10.1109/TCSI.2024.3471029","url":null,"abstract":"","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"71 11","pages":"4899-4899"},"PeriodicalIF":5.2,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/TCSI.2024.3477149
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TCSI.2024.3477149","DOIUrl":"https://doi.org/10.1109/TCSI.2024.3477149","url":null,"abstract":"","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"71 11","pages":"5371-5371"},"PeriodicalIF":5.2,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142517917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/TCSI.2024.3469773
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Pub Date : 2024-10-25DOI: 10.1109/TCSI.2024.3469771
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Pub Date : 2024-10-01DOI: 10.1109/TCSI.2024.3460265
{"title":"IEEE Circuits and Systems Society Information","authors":"","doi":"10.1109/TCSI.2024.3460265","DOIUrl":"https://doi.org/10.1109/TCSI.2024.3460265","url":null,"abstract":"","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"71 10","pages":"C3-C3"},"PeriodicalIF":5.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10702445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142368547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1109/TCSI.2024.3460263
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Pub Date : 2024-10-01DOI: 10.1109/TCSI.2024.3460261
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Pub Date : 2024-10-01DOI: 10.1109/TCSI.2024.3452954
Qingyu Guo;Haoyang Luo;Meng Li;Xiyuan Tang;Yuan Wang
Layer Pipeline (LP) represents an innovative architecture for neural network accelerators, which implements task-level pipelining at the granularity of layers. Despite improvements in throughput, LP architectures face challenges due to complicated dataflow design, intricate design space and high resource requirements. In this paper, we introduce an accelerator synthesis framework, CASCADE. CASCADE leverages a novel dataflow, CARD, to efficiently manage convolutional operations’ irregular memory access patterns using simplified logic and minimal buffers. It also employs advanced design space exploration methods to optimize unrolling parallelism and FIFO depth settings automatically for each layer. Finally, to further enhance resource efficiency, CASCADE leverages Lookup Table-based multiplication and accumulation units. With extensive experimental results, we demonstrate that CASCADE significantly outperforms existing works, achieving a $3times $