{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:01Z","timestamp":1750220821036,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T00:00:00Z","timestamp":1599436800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100002570","name":"American Association of Immunologists","doi-asserted-by":"publisher","award":["AAI Fellowship 2020"],"award-info":[{"award-number":["AAI Fellowship 2020"]}],"id":[{"id":"10.13039\/100002570","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,9,7]]},"DOI":"10.1145\/3386263.3406932","type":"proceedings-article","created":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T21:34:23Z","timestamp":1599255263000},"page":"27-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning"],"prefix":"10.1145","author":[{"given":"Dharanidhar","family":"Dang","sequence":"first","affiliation":[{"name":"University of California, San Diego, San Diego, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aurosmita","family":"Khansama","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rabi","family":"Mahapatra","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debashis","family":"Sahoo","sequence":"additional","affiliation":[{"name":"University of California, San Diego, San Diego, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,9,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2966986.2967011"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001139"},{"key":"e_1_3_2_1_3_1","volume-title":"Front. Neuroscience","author":"Gokmen T.","year":"2016","unstructured":"T. Gokmen and Y. Vlasov \"Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices : Design Considerations \", Front. Neuroscience , July 2016 . T. Gokmen and Y. Vlasov \"Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations\", Front. Neuroscience, July 2016."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2017.55"},{"key":"e_1_3_2_1_5_1","volume-title":"IEEE\/ACM Design Automation Conference (DAC)","author":"Hu Miao","year":"2016","unstructured":"Miao Hu , J. P. Strachan , Z. Li , E. M. Grafals , N. Davila , C. Graves , S. Lam , N. Ge , J. J. Yang , R. S. Williams , \" Dot-Product Engine for Neuromorphic Computing : Programming 1T1M Crossbar to Accelerate Matrix-Vector Multiplication \", IEEE\/ACM Design Automation Conference (DAC) , 2016 . Miao Hu, J. P. Strachan, Z. Li, E. M. Grafals, N. Davila, C. Graves, S. Lam, N. Ge, J. J. Yang, R. S. Williams, \"Dot-Product Engine for Neuromorphic Computing: Programming 1T1M Crossbar to Accelerate Matrix-Vector Multiplication\", IEEE\/ACM Design Automation Conference (DAC), 2016."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2161771"},{"volume-title":"Frontier Neurosciences.","author":"Gokmen T.","key":"e_1_3_2_1_7_1","unstructured":"T. Gokmen , O. M. Onen , and W. Haensch , \" Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices \", Frontier Neurosciences. Vol. 11 , No. 538, 2017. T. Gokmen, O. M. Onen, and W. Haensch, \"Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices\", Frontier Neurosciences. Vol. 11, No. 538, 2017."},{"volume-title":"Nature Communications","author":"Li C.","key":"e_1_3_2_1_8_1","unstructured":"C. Li , D. Belkin , Y. Li , P. Yan , M. Hu , N. Ge , H. Jiang , E. Montgomery , P. Lin , Z. Wang , W. Song , J. P. Strachan , M. Barnell , Q. Wu , R. S. Williams , J. J. Yang , and Q. Xia , \" Efficient and self-adaptive in-situ learning in multilayer memristor neural networks \", Nature Communications , Vol. 9 , No. 2385, 2018. C. Li, D. Belkin, Y. Li, P. Yan, M. Hu, N. Ge, H. Jiang, E. Montgomery, P. Lin, Z. Wang, W. Song, J. P. Strachan, M. Barnell, Q. Wu, R. S. Williams, J. J. Yang, and Q. Xia, \"Efficient and self-adaptive in-situ learning in multilayer memristor neural networks\", Nature Communications, Vol. 9, No. 2385, 2018."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2017.93"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC.2017.00022"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Neural Information Processing Systems (NIPS)","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , I. Sutskever , and G. E. Hinton , \" ImageNet Classification with Deep Convolutional Neural Network \", International Conference on Neural Information Processing Systems (NIPS) , Dec. 2012 . Alex Krizhevsky, I. Sutskever, and G. E. Hinton, \"ImageNet Classification with Deep Convolutional Neural Network\", International Conference on Neural Information Processing Systems (NIPS), Dec. 2012."},{"key":"e_1_3_2_1_12_1","volume-title":"International Conference on Learning Representations (ICLR)","author":"Simonyan K.","year":"2015","unstructured":"K. Simonyan and A. Zisserman , \" Very Deep Convolutional Networks for Large-scale Image Recognition \", International Conference on Learning Representations (ICLR) , 2015 . K. Simonyan and A. Zisserman, \"Very Deep Convolutional Networks for Large-scale Image Recognition\", International Conference on Learning Representations (ICLR), 2015."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep20215"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_16_1","volume-title":"[online]. Available: www.lucedaphotonics.com","author":"Framework Photonic","year":"2018","unstructured":"IPKISS- Photonic Framework . ( 2018 ) [online]. Available: www.lucedaphotonics.com IPKISS-Photonic Framework. (2018) [online]. Available: www.lucedaphotonics.com"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"e_1_3_2_1_18_1","volume-title":"[online]. Available: http:\/\/yann.lecun.com\/exdb\/mnist\/","author":"Database The MNIST","year":"2018","unstructured":"The MNIST Database . ( 2018 ). [online]. Available: http:\/\/yann.lecun.com\/exdb\/mnist\/ The MNIST Database. (2018). [online]. Available: http:\/\/yann.lecun.com\/exdb\/mnist\/"}],"event":{"name":"GLSVLSI '20: Great Lakes Symposium on VLSI 2020","acronym":"GLSVLSI '20","location":"Virtual Event China"},"container-title":["Proceedings of the 2020 on Great Lakes Symposium on VLSI"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3386263.3406932","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3386263.3406932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:13Z","timestamp":1750201993000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3386263.3406932"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,7]]},"references-count":18,"alternative-id":["10.1145\/3386263.3406932","10.1145\/3386263"],"URL":"https:\/\/doi.org\/10.1145\/3386263.3406932","relation":{},"subject":[],"published":{"date-parts":[[2020,9,7]]},"assertion":[{"value":"2020-09-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}