{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:11:43Z","timestamp":1790403103914,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,24]],"date-time":"2018-06-24T00:00:00Z","timestamp":1529798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,24]]},"DOI":"10.1145\/3195970.3196120","type":"proceedings-article","created":{"date-parts":[[2018,6,19]],"date-time":"2018-06-19T13:54:59Z","timestamp":1529416499000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["SpWA"],"prefix":"10.1145","author":[{"given":"Liqiang","family":"Lu","sequence":"first","affiliation":[{"name":"Peking University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Liang","sequence":"additional","affiliation":[{"name":"Peking University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,6,24]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Sparse_matrix. 2018.  https:\/\/en.wikipedia.org\/wiki\/Sparse_matrix. 2018."},{"key":"e_1_3_2_1_2_1","unstructured":"Intel Math Kernel Library. https:\/\/github.com\/01org\/mkl-dnn. 2018.  Intel Math Kernel Library. https:\/\/github.com\/01org\/mkl-dnn. 2018."},{"key":"e_1_3_2_1_3_1","unstructured":"NVIDIA CuDNN. https:\/\/developer.nvidia.com\/cudnn. 2018.  NVIDIA CuDNN. https:\/\/developer.nvidia.com\/cudnn. 2018."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021738"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1950413.1950423"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.40"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2011.2110592"},{"key":"e_1_3_2_1_8_1","volume-title":"Trained Quantization and Huffman Coding. In ICLR","author":"Han S.","year":"2015"},{"key":"e_1_3_2_1_9_1","volume-title":"NIPS","author":"Han S.","year":"2015"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062228"},{"key":"e_1_3_2_1_12_1","unstructured":"S. Li etal Enabling Sparse Winograd Convolution by Native Pruning. In arXiv preprint arXiv:1702.08597 2017.  S. Li et al. Enabling Sparse Winograd Convolution by Native Pruning. In arXiv preprint arXiv:1702.08597 2017."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/649057"},{"key":"e_1_3_2_1_14_1","volume-title":"CVPR","author":"Liu B.","year":"2015"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2017.64"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2017.7995253"},{"key":"e_1_3_2_1_18_1","volume-title":"Real-Time Object Detection. In CVPR","author":"Redmon J.","year":"2016"},{"key":"e_1_3_2_1_19_1","volume-title":"IET computers & digital techniques","author":"Schafer B. C.","year":"2012"},{"key":"e_1_3_2_1_20_1","unstructured":"K. Simonyan and A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. In arXiv preprint arXiv:1409.1556 2014.  K. Simonyan and A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. In arXiv preprint arXiv:1409.1556 2014."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847276"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062251"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062207"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062244"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021727"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021698"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/3195638.3195662"}],"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\/10.1145\/3195970.3196120","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3195970.3196120","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:40Z","timestamp":1750212460000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3195970.3196120"}},"subtitle":["an efficient sparse winograd convolutional neural networks accelerator on FPGAs"],"short-title":[],"issued":{"date-parts":[[2018,6,24]]},"references-count":28,"alternative-id":["10.1145\/3195970.3196120","10.1145\/3195970"],"URL":"https:\/\/doi.org\/10.1145\/3195970.3196120","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"}}]}}