{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:32:06Z","timestamp":1750221126369,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,4,28]],"date-time":"2018-04-28T00:00:00Z","timestamp":1524873600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shenzhen Science and Technology Innovation Committee","award":["JCYJ20170412151226061"],"award-info":[{"award-number":["JCYJ20170412151226061"]}]},{"DOI":"10.13039\/501100007162","name":"Guangdong Science and Technology Department","doi-asserted-by":"publisher","award":["2014B090913001"],"award-info":[{"award-number":["2014B090913001"]}],"id":[{"id":"10.13039\/501100007162","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,4,28]]},"DOI":"10.1145\/3220162.3220178","type":"proceedings-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T12:36:06Z","timestamp":1530880566000},"page":"150-155","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A High-Performance Reconfigurable Accelerator for Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Boya","family":"Zhao","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingqun","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongli","family":"Pan","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingjiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), HIT Campus of University Town of Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,4,28]]},"reference":[{"volume-title":"USA","year":"2012","author":"Krizhevsky A.","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","unstructured":"Simonyan K. and Zisserman A. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 {cs}. (Sep. 2014).  Simonyan K. and Zisserman A. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 {cs}. (Sep. 2014)."},{"volume-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","year":"2015","author":"Szegedy C.","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-Asia.2016.7804821"},{"volume-title":"France","year":"2016","author":"Ma H.","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3195638.3195660"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2017.36"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050809"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2017.47"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080221"},{"key":"e_1_3_2_1_13_1","unstructured":"Stoica I. et al. 2017. A Berkeley View of Systems Challenges for AI. Technical Report #UCB\/EECS-2017-159. EECS Department University of California Berkeley.  Stoica I. et al. 2017. A Berkeley View of Systems Challenges for AI. Technical Report #UCB\/EECS-2017-159. EECS Department University of California Berkeley."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2743766"},{"volume-title":"2016 IEEE International Solid-State Circuits Conference (ISSCC)","year":"2016","author":"Chen Y.-H.","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2636225"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2682138"},{"volume-title":"Germany","year":"2014","author":"Cong J.","key":"e_1_3_2_1_18_1"}],"event":{"name":"ICMSSP '18: 2018 3rd International Conference on Multimedia Systems and Signal Processing","acronym":"ICMSSP '18","location":"Shenzhen China"},"container-title":["Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3220162.3220178","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3220162.3220178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:18Z","timestamp":1750208538000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3220162.3220178"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,28]]},"references-count":18,"alternative-id":["10.1145\/3220162.3220178","10.1145\/3220162"],"URL":"https:\/\/doi.org\/10.1145\/3220162.3220178","relation":{},"subject":[],"published":{"date-parts":[[2018,4,28]]},"assertion":[{"value":"2018-04-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}