{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T02:42:16Z","timestamp":1781836936167,"version":"3.54.5"},"reference-count":13,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.23919\/date51398.2021.9474215","type":"proceedings-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T22:11:46Z","timestamp":1629843106000},"page":"667-672","source":"Crossref","is-referenced-by-count":10,"title":["Hardware-Software Codesign of Weight Reshaping and Systolic Array Multiplexing for Efficient CNNs"],"prefix":"10.23919","author":[{"given":"Jingyao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaxi","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grace Li","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulf","family":"Schlichtmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3322472"},{"key":"ref11","first-page":"821","article-title":"Packing sparse convolutional neural networks for efficient systolic array implementations: Column combining under joint optimization","author":"kung","year":"0","journal-title":"Proceedings of the fourth international conference on Architectural support for programming languages and operating systems - AS"},{"key":"ref12","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref13","author":"chetlur","year":"2014","journal-title":"cuDNN Efficient Primitives for Deep Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317919"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM48280.2020.00035"},{"key":"ref6","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref5","author":"han","year":"2015","journal-title":"Deep compression Compressing deep neural networks with pruning trained quantization and huffman coding"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080215"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2019.2930057"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref9","author":"li","year":"2016","journal-title":"Pruning filters for efficient convnets"}],"event":{"name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Grenoble, France","start":{"date-parts":[[2021,2,1]]},"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\/09474215.pdf?arnumber=9474215","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T20:49:38Z","timestamp":1643402978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9474215\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":13,"URL":"https:\/\/doi.org\/10.23919\/date51398.2021.9474215","relation":{},"subject":[],"published":{"date-parts":[[2021,2,1]]}}}