DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Wooyoung | ko |
dc.contributor.author | Kim, Sangjin | ko |
dc.contributor.author | Lee, Juhyoung | ko |
dc.contributor.author | Um, Soyeon | ko |
dc.contributor.author | Li, Zhiyong | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2023-01-12T11:03:20Z | - |
dc.date.available | 2023-01-12T11:03:20Z | - |
dc.date.created | 2023-01-09 | - |
dc.date.created | 2023-01-09 | - |
dc.date.issued | 2022-05 | - |
dc.identifier.citation | 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022, pp.365 - 369 | - |
dc.identifier.uri | http://hdl.handle.net/10203/304372 | - |
dc.description.abstract | A Mixed-mode Computing-in memory (CIM) processor for the mixed-precision Deep Neural Network (DNN) processing is proposed. Due to the bit-serial processing for the multi-bit data, the previous CIM processors could not exploit the energy-efficient computation of mixed-precision DNNs. This paper proposes an energy-efficient mixed-mode CIM processor with two key features: 1) Mixed-Mode Mixed-precision CIM (M3-CIM) which achieves 55.46% energy efficiency improvement. 2) Digital-CIM for In-memory MAC for the increased throughput of M3-CIM. The proposed CIM processor was simulated in 28nm CMOS technology and occupies 1.96 mm2. It achieves a state-of-the-art energy efficiency of 161.6 TOPS/W with 72.8% accuracy at ImageNet (ResNet50). | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A 161.6 TOPS/W Mixed-mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural Networks | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85142536383 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 365 | - |
dc.citation.endingpage | 369 | - |
dc.citation.publicationname | 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Austin, TX | - |
dc.identifier.doi | 10.1109/ISCAS48785.2022.9938010 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
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