{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T20:00:58Z","timestamp":1785182458045,"version":"3.55.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Solid-State Circuits"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/jssc.2026.3675444","type":"journal-article","created":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T19:56:23Z","timestamp":1774468583000},"page":"4489-4502","source":"Crossref","is-referenced-by-count":0,"title":["OS-CIM: A 28-nm Output-Stationary SRAM Compute-in-Memory Macro Featuring Dynamic Look-Ahead Zero Weight Skipping and Runtime Partial Sum Quantization"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4474-768X","authenticated-orcid":false,"given":"Xiaofeng","family":"Hu","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8532-1385","authenticated-orcid":false,"given":"HanGyeol","family":"Mun","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"He","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5040-2381","authenticated-orcid":false,"given":"Yuan","family":"Liao","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4551-7789","authenticated-orcid":false,"given":"Jae-sun","family":"Seo","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Cornell Tech","place":["New York, NY, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSSC.2025.3549358"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/OJSSCS.2022.3210152"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/isscc49657.2024.10454313"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/isscc42615.2023.10067305"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067260"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/isscc42614.2022.9731762"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067779"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC49657.2024.10454447"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VLSITechnologyandCir46783.2024.10631368"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC49657.2024.10454395"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2023.3338059"},{"key":"ref12","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Han"},{"key":"ref13","first-page":"10323","article-title":"SparseGPT: Massive language models can be accurately pruned in one-shot","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Frantar"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CICC60959.2024.10529009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC49661.2025.10904702"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2025.3625995"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2024.3497187"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CICC63670.2025.10982878"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067555"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2022.3206318"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ESSCIRC59616.2023.10268725"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2017.2701547"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067269"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA57654.2024.00062"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO61859.2024.00048"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","article-title":"An image is worth 16$\\times$\n16 words: Transformers for image recognition at scale","volume-title":"Proc. 9th Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42613.2021.9365766"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3392717.3392751"},{"key":"ref30","article-title":"Learning N:M fine-grained structured sparse neural networks from scratch","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhou"},{"key":"ref31","article-title":"QDrop: Randomly dropping quantization for extremely low-bit post-training quantization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Wei"},{"key":"ref32","article-title":"Sparse Training via Boosting Pruning Plasticity with Neuroregeneration","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Liu"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3043870"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.23919\/VLSITechnologyandCir65189.2025.11075114"},{"key":"ref37","first-page":"3187","article-title":"Efficient transformer-based large scale language representations using hardware-friendly block structured pruning","volume-title":"Proc. Findings Assoc. Comput. Linguistics EMNLP","author":"Li"},{"key":"ref38","article-title":"The lazy neuron phenomenon: On emergence of activation sparsity in transformers","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref39","first-page":"22137","article-title":"Deja Vu: Contextual sparsity for efficient LLMs at inference time","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Liu"},{"key":"ref40","article-title":"GLU variants improve transformer","author":"Shazeer","year":"2020","journal-title":"arXiv:2002.05202"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01558"},{"key":"ref42","first-page":"9275","article-title":"A2Q+: Improving accumulator-aware weight quantization","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Colbert"},{"key":"ref43","first-page":"367","article-title":"Torch2Chip: An end-to-end customizable deep neural network compression and deployment toolkit for prototype hardware accelerator design","volume-title":"Proc. Conf. Mach. Learn. Syst. (MLSys)","author":"Meng"},{"key":"ref44","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019","journal-title":"arXiv:1912.01703"},{"key":"ref45","first-page":"7197","article-title":"Up or down? Adaptive rounding for post-training quantization","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Nagel"},{"key":"ref46","article-title":"Learned step size quantization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Esser"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.00387"},{"key":"ref48","article-title":"The llama 3 herd of models","author":"Grattafiori","year":"2024","journal-title":"arXiv:2407.21783"},{"key":"ref49","article-title":"Qwen2.5 technical report","author":"Qwen","year":"2024","journal-title":"arXiv:2412.15115"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01112"},{"key":"ref51","article-title":"Training-free activation sparsity in large language models","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS64960.2025.00026"}],"container-title":["IEEE Journal of Solid-State Circuits"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/4\/11623245\/11456066-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4\/11623245\/11456066.pdf?arnumber=11456066","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T19:04:22Z","timestamp":1785179062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11456066\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":52,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jssc.2026.3675444","relation":{},"ISSN":["0018-9200","1558-173X"],"issn-type":[{"value":"0018-9200","type":"print"},{"value":"1558-173X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}