{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:40:52Z","timestamp":1780674052045,"version":"3.54.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007431","name":"NRF","doi-asserted-by":"publisher","award":["2020R1A2C2015066"],"award-info":[{"award-number":["2020R1A2C2015066"]}],"id":[{"id":"10.13039\/100007431","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,1]]},"DOI":"10.1109\/iccad51958.2021.9643502","type":"proceedings-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T23:06:46Z","timestamp":1640300806000},"page":"1-7","source":"Crossref","is-referenced-by-count":20,"title":["Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators"],"prefix":"10.1109","author":[{"given":"Azat","family":"Azamat","sequence":"first","affiliation":[{"name":"Department of CSE, UNIST,Ulsan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faaiz","family":"Asim","sequence":"additional","affiliation":[{"name":"Department of EE, UNIST,Ulsan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jongeun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of EE, UNIST,Ulsan,South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2894756"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","article-title":"ACIQ: analytical clipping for integer quantization of neural networks","author":"banner","year":"2018","journal-title":"CoRR"},{"key":"ref10","article-title":"Neural network-hardware co-design for scalable rram-based BNN accelerators","author":"kim","year":"2018","journal-title":"CoRR"},{"key":"ref11","article-title":"Learned step size quantization","author":"esser","year":"2019","journal-title":"CoRR"},{"key":"ref12","article-title":"Additive powers-of-two quantization: A non-uniform discretization for neural networks","author":"li","year":"2019","journal-title":"CoRR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00448"},{"key":"ref14","article-title":"PACT: parameterized clipping activation for quantized neural networks","author":"choi","year":"2018","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00080"},{"key":"ref16","article-title":"Mixed precision training","author":"micikevicius","year":"2017","journal-title":"CoRR"},{"key":"ref17","article-title":"Training and inference with integers in deep neural networks","author":"wu","year":"2018","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287640"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2019.2927493"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2017.55"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3044652"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3386263.3406954"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.23919\/DATE51398.2021.9474226"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824902"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240825"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2018.8297293"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2998456"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322271"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.12"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2017.7858419"},{"key":"ref22","article-title":"Binarynet: Training deep neural networks with weights and activations constrained to +1 or-1","author":"courbariaux","year":"2016","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342235"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317870"},{"key":"ref23","article-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","author":"krishnamoorthi","year":"2018","journal-title":"CoRR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218688"}],"event":{"name":"2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)","location":"Munich, Germany","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,4]]}},"container-title":["2021 IEEE\/ACM International Conference On Computer Aided Design (ICCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9643423\/9643432\/09643502.pdf?arnumber=9643502","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:12:08Z","timestamp":1659485528000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9643502\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iccad51958.2021.9643502","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}