{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:19:24Z","timestamp":1774365564812,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100019356","name":"Major Project of the Science and Technology Innovation 2030","doi-asserted-by":"publisher","award":["2021ZD0114400"],"award-info":[{"award-number":["2021ZD0114400"]}],"id":[{"id":"10.13039\/501100019356","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Strategic Priority Research Program of Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDB44000000"],"award-info":[{"award-number":["XDB44000000"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62322404"],"award-info":[{"award-number":["62322404"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61732020"],"award-info":[{"award-number":["61732020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["10QA1407300"],"award-info":[{"award-number":["10QA1407300"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhangjiang Fudan International Innovation Center"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tvlsi.2023.3337777","type":"journal-article","created":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T20:00:55Z","timestamp":1703102455000},"page":"269-282","source":"Crossref","is-referenced-by-count":30,"title":["HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0564-4900","authenticated-orcid":false,"given":"Shiwei","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"given":"Chen","family":"Mu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"given":"Hao","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4125-4181","authenticated-orcid":false,"given":"Yunzhengmao","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"given":"Jinshan","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"given":"Feng","family":"Lin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3078-4542","authenticated-orcid":false,"given":"Keji","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7062-831X","authenticated-orcid":false,"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5980-4236","authenticated-orcid":false,"given":"Chixiao","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Vaswani"},{"key":"ref2","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"issue":"8","key":"ref3","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref4","article-title":"Language models are few-shot learners","author":"Brown","year":"2020","journal-title":"arXiv:2005.14165"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5446"},{"key":"ref6","volume-title":"Large text compression benchmark","author":"Mahoney","year":"2009"},{"key":"ref7","article-title":"Longformer: The long-document transformer","author":"Beltagy","year":"2020","journal-title":"arXiv:2004.05150"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.232"},{"key":"ref9","first-page":"4055","article-title":"Image transformer","volume-title":"Proc. Mach. Learn. Res. (PMLR)","author":"Parmar"},{"key":"ref10","first-page":"13937","article-title":"DynamicViT: Efficient vision transformers with dynamic token sparsification","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Rao"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19574.2021.9720547"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2021.3050295"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-34230-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2020.3004666"},{"key":"ref15","first-page":"1","article-title":"Noise injection adaption: End-to-end ReRAM crossbar non-ideal effect adaption for neural network mapping","volume-title":"Proc. 56th ACM\/IEEE Design Autom. Conf. (DAC)","author":"He"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19573.2019.8993491"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2020.3014920"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42613.2021.9365766"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731657"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-1942-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-017-0002-z"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2021.3060509"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2022.3140395"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3039206"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2022.3148273"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3530811"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480095"},{"key":"ref28","article-title":"Efficient content-based sparse attention with routing transformers","author":"Roy","year":"2020","journal-title":"arXiv:2003.05997"},{"key":"ref29","article-title":"Reformer: The efficient transformer","author":"Kitaev","year":"2020","journal-title":"arXiv:2001.04451"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2021.3121264"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731645"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2023.3282046"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2022.3199396"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2022.3197282"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00060"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00035"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA51647.2021.00018"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3503222.3507738"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10071081"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480125"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731686"},{"key":"ref42","first-page":"1","article-title":"ReTransformer: ReRAM-based processing-in-memory architecture for transformer acceleration","volume-title":"Proc. IEEE\/ACM Int. Conf. Comput. Aided Design (ICCAD)","author":"Yang"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00082"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00059"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586212"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00050"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00051"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10070997"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10071047"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10071027"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"key":"ref52","first-page":"482","article-title":"Quantization based fast inner product search","volume-title":"Proc. PMLR","volume":"51","author":"Guo"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2010.2040306"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067360"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2898010"},{"key":"ref57","first-page":"41","article-title":"Fine-grained DRAM: Energy-efficient DRAM for extreme bandwidth systems","volume-title":"Proc. 50th Annu. IEEE\/ACM Int. Symp. Microarchitecture (MICRO)","author":"O\u2019Connor"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2021.3139530"},{"key":"ref60","article-title":"Explicit sparse transformer: Concentrated attention through explicit selection","author":"Zhao","year":"2019","journal-title":"arXiv:1912.11637"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/92\/10411971\/10367847.pdf?arnumber=10367847","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T17:54:07Z","timestamp":1717437247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10367847\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":60,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2023.3337777","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"value":"1063-8210","type":"print"},{"value":"1557-9999","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}