{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T21:10:31Z","timestamp":1762809031346,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,2]],"date-time":"2020-11-02T00:00:00Z","timestamp":1604275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ministry of Science, ICT and Future Planning","award":["2016M3A7B4909668"],"award-info":[{"award-number":["2016M3A7B4909668"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,2]]},"DOI":"10.1145\/3400302.3415664","type":"proceedings-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T01:20:55Z","timestamp":1608254455000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Unlocking wordline-level parallelism for fast inference on RRAM-based DNN accelerator"],"prefix":"10.1145","author":[{"given":"Yeonhong","family":"Park","sequence":"first","affiliation":[{"name":"Seoul National University"}]},{"given":"Seung Yul","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University"}]},{"given":"Hoon","family":"Shin","sequence":"additional","affiliation":[{"name":"Seoul National University"}]},{"given":"Jun","family":"Heo","sequence":"additional","affiliation":[{"name":"Seoul National University"}]},{"given":"Tae Jun","family":"Ham","sequence":"additional","affiliation":[{"name":"Seoul National University"}]},{"given":"Jae W.","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University"}]}],"member":"320","published-online":{"date-parts":[[2020,12,17]]},"reference":[{"volume-title":"Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '19)","author":"Ankit Aayush","key":"e_1_3_2_1_1_1"},{"volume-title":"2018 IEEE International Solid - State Circuits Conference - (ISSCC). 494--496","author":"Chen W.","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0288-0"},{"volume-title":"PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. In 2016 ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)","year":"2016","author":"Chi P.","key":"e_1_3_2_1_4_1"},{"volume-title":"Vijayalakshmi Srinivasan, and Kailash Gopalakrishnan.","year":"2018","author":"Choi Jungwook","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358328"},{"volume-title":"2009 International Symposium on VLSI Design, Automation and Test. 215--218","year":"2009","author":"Liu Chun-Cheng","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"volume-title":"Electron Devices","year":"2015","author":"Garbin Daniele","key":"e_1_3_2_1_9_1"},{"volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 770--778","author":"He K.","key":"e_1_3_2_1_10_1"},{"issue":"6","key":"e_1_3_2_1_11_1","first-page":"1","article-title":"Integrated HfO2-RRAM to achieve highly reliable, greener, faster, cost-effective, and scaled devices. In 2017 IEEE International Electron Devices Meeting (IEDM)","volume":"2","author":"Ho C.","year":"2017","journal-title":"IEEE"},{"volume-title":"Proceedings of International Conference on Solid State Devices and Materials.","author":"Hsu K.C.","key":"e_1_3_2_1_12_1"},{"volume-title":"2016 53nd ACM\/EDAC\/IEEE Design Automation Conference (DAC). IEEE, 1--6.","author":"Hu M.","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","first-page":"1","article-title":"Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations","volume":"18","author":"Hubara Itay","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_15_1","unstructured":"Alex Krizhevsky and Geoffrey Hinton. 2009. Learning multiple layers of features from tiny images.  Alex Krizhevsky and Geoffrey Hinton. 2009. Learning multiple layers of features from tiny images."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2013.2279571"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2013.2279571"},{"key":"e_1_3_2_1_18_1","unstructured":"Ya Le and Xuan Yang. 2015. Tiny ImageNet Visual Recognition Challenge. https:\/\/tiny-imagenet.herokuapp.com\/.  Ya Le and Xuan Yang. 2015. Tiny ImageNet Visual Recognition Challenge. https:\/\/tiny-imagenet.herokuapp.com\/."},{"volume-title":"2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD). 1--8.","author":"Lin M.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-13754-w"},{"volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2011.2107214"},{"volume-title":"ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. In 2016 ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)","year":"2016","author":"Shafiee A.","key":"e_1_3_2_1_23_1"},{"volume-title":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 976--980","author":"Shin S.","key":"e_1_3_2_1_24_1"},{"volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations.","year":"2015","author":"Simonyan Karen","key":"e_1_3_2_1_25_1"},{"volume-title":"PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. In 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA). 541--552","author":"Song L.","key":"e_1_3_2_1_26_1"},{"volume-title":"2017 Symposium on VLSI Technology. T260--T261","author":"Su F.","key":"e_1_3_2_1_27_1"},{"volume-title":"Resiliency of Deep Neural Networks under Quantization. ArXiv abs\/1511.06488","year":"2015","author":"Sung Wonyong","key":"e_1_3_2_1_28_1"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1002\/smll.201703153"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/pssr.201900073"},{"volume-title":"2019 IEEE International Solid- State Circuits Conference - (ISSCC). 388--390","author":"Xue C.","key":"e_1_3_2_1_31_1"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2951363"},{"volume-title":"2020 IEEE International Solid- State Circuits Conference - (ISSCC). 244--246","author":"Xue C.","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322271"},{"volume-title":"High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS. ArXiv abs\/1909.07514","year":"2019","author":"Yin Shihui","key":"e_1_3_2_1_35_1"},{"volume-title":"DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. ArXiv abs\/1606.06160","year":"2016","author":"Zhou Shuchang","key":"e_1_3_2_1_36_1"}],"event":{"name":"ICCAD '20: IEEE\/ACM International Conference on Computer-Aided Design","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS","IEEE CEDA","IEEE CS"],"location":"Virtual Event USA","acronym":"ICCAD '20"},"container-title":["Proceedings of the 39th International Conference on Computer-Aided Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3400302.3415664","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3400302.3415664","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:51Z","timestamp":1750197771000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3400302.3415664"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,2]]},"references-count":36,"alternative-id":["10.1145\/3400302.3415664","10.1145\/3400302"],"URL":"https:\/\/doi.org\/10.1145\/3400302.3415664","relation":{},"subject":[],"published":{"date-parts":[[2020,11,2]]},"assertion":[{"value":"2020-12-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}