{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T06:01:18Z","timestamp":1777874478519,"version":"3.51.4"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"UTokyo-TSMC JDP and in part by JST ACT-X","award":["JPMJAX210A"],"award-info":[{"award-number":["JPMJAX210A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tcsi.2026.3672648","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T20:17:58Z","timestamp":1773692278000},"page":"3091-3101","source":"Crossref","is-referenced-by-count":0,"title":["A 28-nm 0.8M-Weights\/mm\n                    <sup>2<\/sup>\n                    9.1-TOPS\/mm\n                    <sup>2<\/sup>\n                    All-Analog SRAM-Based Compute-in-Memory Macro Using Fine-Grained Structured Pruning With Adaptive-Ranging ADC"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8804-7687","authenticated-orcid":false,"given":"Kota","family":"Shiba","sequence":"first","affiliation":[{"name":"Taiwan Semiconductor Manufacturing Company, Yokohama, Kanagawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhijie","family":"Zhan","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9986-5308","authenticated-orcid":false,"given":"Koji","family":"Nii","sequence":"additional","affiliation":[{"name":"Taiwan Semiconductor Manufacturing Company, Yokohama, Kanagawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yih","family":"Wang","sequence":"additional","affiliation":[{"name":"Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6505-5474","authenticated-orcid":false,"given":"Tsung-Yung Jonathan","family":"Chang","sequence":"additional","affiliation":[{"name":"Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3394-2227","authenticated-orcid":false,"given":"Atsutake","family":"Kosuge","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0461-4208","authenticated-orcid":false,"given":"Mototsugu","family":"Hamada","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0617-1057","authenticated-orcid":false,"given":"Tadahiro","family":"Kuroda","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9062985"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3031290"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731754"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.23919\/VLSITechnologyandCir57934.2023.10185253"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067352"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2023.3319962"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/isscc42615.2023.10067289"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/isscc19947.2020.9062958"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2022.3148273"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3162017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2024.3433417"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2022.3224363"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/isscc42615.2023.10067526"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067305"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42613.2021.9365984"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2022.3199077"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/isscc19947.2020.9062995"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2021.3073254"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ESSERC62670.2024.10719563"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.241"},{"key":"ref21","article-title":"Exploring the regularity of sparse structure in convolutional neural networks","volume-title":"arXiv:1705.08922","author":"Mao"},{"key":"ref22","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","volume-title":"Proc. ICLR","author":"Han"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870353"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref26","first-page":"20721","article-title":"DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Sun"},{"key":"ref27","article-title":"Learning N: M Fine-grained structured sparse neural networks from scratch","volume-title":"arXiv:2102.04010","author":"Zhou"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3572848.3577500"},{"key":"ref29","article-title":"Accelerating sparse deep neural networks","author":"Mishra","year":"2021","journal-title":"arXiv:2104.08378"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/HCS49909.2020.9220622"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/HCS61935.2024.10664659"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00049"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/isscc49657.2024.10454357"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2025.3568485"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2024.3362699"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8919\/11500576\/11435185.pdf?arnumber=11435185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:50:53Z","timestamp":1777578653000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11435185\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":35,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2026.3672648","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}