{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T02:14:44Z","timestamp":1723083284513},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T00:00:00Z","timestamp":1561334400000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1740126"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","award":["nCORE"],"id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,24]]},"DOI":"10.1145\/3195970.3196009","type":"proceedings-article","created":{"date-parts":[[2018,6,19]],"date-time":"2018-06-19T13:54:59Z","timestamp":1529416499000},"update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":58,"title":["CMP-PIM"],"prefix":"10.1145","author":[{"given":"Shaahin","family":"Angizi","sequence":"first","affiliation":[{"name":"University of Central Florida"}]},{"given":"Zhezhi","family":"He","sequence":"additional","affiliation":[{"name":"University of Central Florida"}]},{"given":"Adnan Siraj","family":"Rakin","sequence":"additional","affiliation":[{"name":"University of Central Florida"}]},{"given":"Deliang","family":"Fan","sequence":"additional","affiliation":[{"name":"University of Central Florida"}]}],"member":"320","published-online":{"date-parts":[[2018,6,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744788"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"R. Andri etal \"Yodann: An architecture for ultra-low power binary-weight cnn acceleration \" IEEE TCAD 2017. R. Andri et al. \"Yodann: An architecture for ultra-low power binary-weight cnn acceleration \" IEEE TCAD 2017.","DOI":"10.1109\/TCAD.2017.2682138"},{"key":"e_1_3_2_1_3_1","unstructured":"S. Zhou etal \"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients \" arXiv preprint arXiv:1606.06160 2016. S. Zhou et al. \"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients \" arXiv preprint arXiv:1606.06160 2016."},{"key":"e_1_3_2_1_4_1","first-page":"525","volume-title":"Springer","author":"Rastegari M.","year":"2016"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00047-7"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.244"},{"key":"e_1_3_2_1_7_1","first-page":"19","article-title":"Local binary convolutional neural networks","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"S. S. Sarwar etal \"Gabor filter assisted energy efficient fast learning convolutional neural networks \" arXiv preprint arXiv:1705.04748 2017. S. S. Sarwar et al. \"Gabor filter assisted energy efficient fast learning convolutional neural networks \" arXiv preprint arXiv:1705.04748 2017.","DOI":"10.1109\/ISLPED.2017.8009202"},{"key":"e_1_3_2_1_9_1","first-page":"782","article-title":"Binary convolutional neural network on rram,\" in 22nd ASP-DAC","author":"Tang T.","year":"2017","journal-title":"IEEE"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2898064"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.13"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2333660.2333664"},{"key":"e_1_3_2_1_13_1","volume-title":"Springer","author":"Prenat G.","year":"2015"},{"key":"e_1_3_2_1_14_1","volume-title":"Citeseer","author":"Sifre L.","year":"2014"},{"key":"e_1_3_2_1_15_1","unstructured":"A. G. Howard M. Zhu B. Chen D. Kalenichenko W. Wang T. Weyand M. Andreetto and H. Adam \"Mobilenets: Efficient convolutional neural networks for mobile vision applications \" arXiv preprint arXiv:1704.04861 2017. A. G. Howard M. Zhu B. Chen D. Kalenichenko W. Wang T. Weyand M. Andreetto and H. Adam \"Mobilenets: Efficient convolutional neural networks for mobile vision applications \" arXiv preprint arXiv:1704.04861 2017."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"F. Chollet \"Xception: Deep learning with depthwise separable convolutions \" arXiv preprint arXiv:1610.02357 2016. F. Chollet \"Xception: Deep learning with depthwise separable convolutions \" arXiv preprint arXiv:1610.02357 2016.","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_1_17_1","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He K.","year":"2016","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.4753947"},{"key":"e_1_3_2_1_19_1","first-page":"481","volume-title":"2017 IEEE International Symposium on. IEEE","author":"Aga S.","year":"2017"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2515510"},{"key":"e_1_3_2_1_21_1","volume-title":"NIPS Workshop, no. EPFL-CONF-192376","author":"Collobert R.","year":"2011"},{"key":"e_1_3_2_1_22_1","unstructured":"K. Simonyan etal \"Very deep convolutional networks for large-scale image recognition \" arXiv preprint arXiv:1409.1556 2014. K. Simonyan et al. \"Very deep convolutional networks for large-scale image recognition \" arXiv preprint arXiv:1409.1556 2014."},{"key":"e_1_3_2_1_23_1","first-page":"1","article-title":"Going deeper with convolutions","author":"Szegedy C.","year":"2015","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_24_1","unstructured":"(2011) Ncsu eda freepdk45. {Online}. Available: http:\/\/www.eda.ncsu.edu\/wiki\/FreePDK45:Contents (2011) Ncsu eda freepdk45. {Online}. Available: http:\/\/www.eda.ncsu.edu\/wiki\/FreePDK45:Contents"},{"key":"e_1_3_2_1_25_1","first-page":"97","article-title":"High performance and energy-efficient in-memory computing architecture based on sot-mram","author":"He Z.","year":"2017","journal-title":"NANOARCH. IEEE"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9551-3_2"}],"event":{"name":"DAC '18: The 55th Annual Design Automation Conference 2018","location":"San Francisco California","acronym":"DAC '18","sponsor":["EDAC Electronic Design Automation Consortium","SIGDA ACM Special Interest Group on Design Automation","IEEE Council on Electronic Design Automation (CEDA)","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the 55th Annual Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3195970.3196009","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3195970.3196009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T16:31:43Z","timestamp":1673281903000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3195970.3196009"}},"subtitle":["an energy-efficient comparator-based processing-in-memory neural network accelerator"],"short-title":[],"issued":{"date-parts":[[2018,6,24]]},"references-count":26,"alternative-id":["10.1145\/3195970.3196009","10.1145\/3195970"],"URL":"https:\/\/doi.org\/10.1145\/3195970.3196009","relation":{},"subject":[],"published":{"date-parts":[[2018,6,24]]},"assertion":[{"value":"2018-06-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}
