{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T12:23:51Z","timestamp":1777724631624,"version":"3.51.4"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006734","name":"Princeton University through the Generosity of William Addy \u201982","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006734","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Solid-State Circuits"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1109\/jssc.2021.3119018","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T18:20:52Z","timestamp":1634754052000},"page":"198-211","source":"Crossref","is-referenced-by-count":93,"title":["Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing"],"prefix":"10.1109","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8692-1860","authenticated-orcid":false,"given":"Hongyang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2835-2484","authenticated-orcid":false,"given":"Murat","family":"Ozatay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6667-1833","authenticated-orcid":false,"given":"Yinqi","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0218-9906","authenticated-orcid":false,"given":"Hossein","family":"Valavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6541-8630","authenticated-orcid":false,"given":"Rakshit","family":"Pathak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4898-4865","authenticated-orcid":false,"given":"Jinseok","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naveen","family":"Verma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00874"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref7","first-page":"173","article-title":"Deep speech 2: End-to-end speech recognition in English and Mandarin","volume-title":"Proc. 33rd Int. Conf. Mach. Learn. (ICML)","volume":"48","author":"Amodei"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1923-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-17678-4"},{"issue":"1","key":"ref10","first-page":"6869","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","volume":"18","author":"Hubara","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref11","article-title":"PACT: Parameterized clipping activation for quantized neural networks","author":"Choi","year":"2018","journal-title":"arXiv:1805.06085"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"ref13","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2019.2954495"},{"key":"ref15","article-title":"DLVM: A modern compiler infrastructure for deep learning systems","author":"Wei","year":"2017","journal-title":"arXiv:1711.03016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304072"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2014.58"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870353"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2869150"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9062984"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23919\/VLSIC.2019.8778028"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2939682"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9062958"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3031290"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2899730"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310398"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2642198"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.2987714"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSSC.2019.2922889"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2952773"},{"key":"ref34","volume-title":"Flex Logix Announces Working Silicon of Fastest and Most Efficient AI Edge Inference Chip","year":"2020"},{"key":"ref35","volume-title":"Qualcomm Cloud AI 100 Announcement","year":"2020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/DATE.2003.1253623"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2966986.2967049"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3243176.3243212"},{"key":"ref39","first-page":"1","article-title":"Fundamental limits on the precision of in-memory architectures","volume-title":"Proc. 39th Int. Conf. Comput.-Aided Design (ICCAD)","author":"Gonugondla"},{"key":"ref40","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3039206"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2013.6645504"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465799"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2015.7294012"},{"key":"ref45","first-page":"1","article-title":"Relaxed quantization for discretized neural networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Louizos"},{"key":"ref46","first-page":"1","article-title":"Linear symmetric quantization of neural networks for low-precision integer hardware","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhao"}],"container-title":["IEEE Journal of Solid-State Circuits"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4\/9664397\/09580448.pdf?arnumber=9580448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:21:38Z","timestamp":1705011698000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9580448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":46,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jssc.2021.3119018","relation":{},"ISSN":["0018-9200","1558-173X"],"issn-type":[{"value":"0018-9200","type":"print"},{"value":"1558-173X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]}}}