{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T05:23:26Z","timestamp":1747977806984,"version":"3.37.3"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Singapore Government's Research, Innovation and Enterprise 2020 Plan","award":["A1892b0026"],"award-info":[{"award-number":["A1892b0026"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tnnls.2023.3285488","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T17:37:51Z","timestamp":1687887471000},"page":"15306-15320","source":"Crossref","is-referenced-by-count":2,"title":["Optimizing for In-Memory Deep Learning With Emerging Memory Technology"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7139-724X","authenticated-orcid":false,"given":"Zhehui","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3415-3676","authenticated-orcid":false,"given":"Tao","family":"Luo","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9116-1595","authenticated-orcid":false,"given":"Rick Siow Mong","family":"Goh","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4281-2053","authenticated-orcid":false,"given":"Weng-Fai","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National University of Singapore, Queenstown, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"GPU-Based Deep Learning Inference: A Performance and Power Analysis","year":"2018","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.643"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1556-276X-9-526","article-title":"Overview of emerging non-volatile memory technologies","volume":"9","author":"Meena","year":"2014","journal-title":"Nanosc. Res. Lett."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038.\/s41586-020-1942-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0270-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2021.3120068"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2791458"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899936"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899262"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2778940"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2296777"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2547842"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-020-0655-z"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17785-1"},{"article-title":"Mythic multiplies in a flash","year":"2018","author":"Demler","key":"ref15"},{"key":"ref16","first-page":"T164","article-title":"RTN insight to filamentary instability and disturb immunity in ultra-low power switching HfOx and AlOx RRAM","volume-title":"Proc. Symp. VLSI Technol.","author":"Raghavan"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2889670"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2020.3002736"},{"key":"ref19","first-page":"1","article-title":"A configurable multi-precision CNN computing framework based on single bit RRAM","volume-title":"Proc. 56th ACM\/IEEE Design Autom. Conf. (DAC)","author":"Zhu"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1063\/1.3304167"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VLSITechnology18217.2020.9265066"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/168"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CEEC.2014.6958557"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342235"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310400"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2017.7858419"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702715"},{"key":"ref30","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":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2018.2869072"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00662"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1039\/C3NR05016E"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.sse.2015.05.027"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6641\/abb842"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-16108-9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3386263.3407579"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18098-0"},{"article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and Huffman coding","volume-title":"Proc. 4th Int. Conf. Learn. Represent., (ICLR)","author":"Han","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2021.3084393"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00197"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"article-title":"Pruning filters for efficient ConvNets","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li","key":"ref45"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00816"},{"article-title":"Rethinking soft labels for knowledge distillation: A bias\u2013variance tradeoff perspective","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhou","key":"ref48"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00914"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3103973"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01165"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10091063"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3407197.3407619"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-04485-1"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2017.2784363"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"},{"journal-title":"Designing With Low-Power OP AMPS\u2014Part 1: Power-Saving Techniques for Op-Amp Circuits","year":"2021","author":"Miller","key":"ref58"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-7506-7844-5.x5109-1"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/a-sscc48613.2020.9336142"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.12.002"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3195918"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3291054"},{"volume-title":"Pytorch Model Library","year":"2021","key":"ref64"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218688"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00015"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/IRPS.2013.6532042"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2012.2210856"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10737991\/10164670.pdf?arnumber=10164670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:24:44Z","timestamp":1732735484000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10164670\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":68,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3285488","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}