{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:08:58Z","timestamp":1740100138465,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62034007,61974133"],"award-info":[{"award-number":["62034007,61974133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012540","name":"Key Area RD Program of Guangdong Province","doi-asserted-by":"publisher","award":["2018B030338001"],"award-info":[{"award-number":["2018B030338001"]}],"id":[{"id":"10.13039\/100012540","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.23919\/date51398.2021.9473939","type":"proceedings-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:11:46Z","timestamp":1629843106000},"page":"1356-1359","source":"Crossref","is-referenced-by-count":0,"title":["Joint Sparsity with Mixed Granularity for Efficient GPU Implementation"],"prefix":"10.23919","author":[{"given":"Chuliang","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingang","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"He","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xunzhao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Zhuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref31","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"0","journal-title":"Proc ICML"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref10","first-page":"1","article-title":"Optimally approximated and unbiased floating-point multiplier with runtime configurability","author":"chen","year":"2020","journal-title":"ICCAD"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2957724"},{"key":"ref12","article-title":"A novel channel pruning method for deep neural network compression","author":"hu","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref13","article-title":"Pruning filters for efficient convnets","author":"li","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref15","article-title":"Block-sparse recurrent neural networks","author":"narang","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015676"},{"key":"ref17","article-title":"Campfire: Compressible, regularization-free, structured sparse training for hardware accelerators","author":"gamboa","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref18","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"0","journal-title":"Proc NIPS"},{"key":"ref19","article-title":"A systematic DNN weight pruning framework using alternating direction method of multipliers","author":"zhang","year":"0","journal-title":"Proc ECCV"},{"key":"ref28","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref4","article-title":"A Scalable Design of Multi-Bit Ferroelectric Content Addressable Memory for Data-Centric Computing","author":"li","year":"2020","journal-title":"IEEE IEDM"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref27"},{"key":"ref3","article-title":"To prune, or not to prune: exploring the efficacy of pruning for model compression","author":"zhu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2917844"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2020.2994896"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.241"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2834438"},{"key":"ref2","article-title":"Do deep nets really need to be deep?","author":"ba","year":"0","journal-title":"Proc NIPS"},{"key":"ref9","article-title":"Gpu kernels for block-sparse weights","author":"gray","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref1","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"0","journal-title":"Proc NIPS"},{"key":"ref20","article-title":"StructADMM: A systematic, high-efficiency framework of structured weight pruning for DNNs","author":"zhang","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref21","article-title":"Progressive weight pruning of deep neural networks using ADMM","author":"ye","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref23","article-title":"Hierarchical block sparse neural networks","author":"vooturi","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref26","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc NIPS"},{"key":"ref25","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"0","journal-title":"Proc NIPS"}],"event":{"name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","start":{"date-parts":[[2021,2,1]]},"location":"Grenoble, France","end":{"date-parts":[[2021,2,5]]}},"container-title":["2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9473901\/9473226\/09473939.pdf?arnumber=9473939","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T20:24:05Z","timestamp":1643401445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9473939\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":32,"URL":"https:\/\/doi.org\/10.23919\/date51398.2021.9473939","relation":{},"subject":[],"published":{"date-parts":[[2021,2,1]]}}}