{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T01:58:39Z","timestamp":1761789519796},"reference-count":50,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/nas.2018.8515692","type":"proceedings-article","created":{"date-parts":[[2018,12,4]],"date-time":"2018-12-04T00:36:55Z","timestamp":1543883815000},"source":"Crossref","is-referenced-by-count":37,"title":["Tolerating Soft Errors in Deep Learning Accelerators with Reliable On-Chip Memory Designs"],"prefix":"10.1109","author":[{"given":"Arash","family":"Azizimazreah","sequence":"first","affiliation":[]},{"given":"Yongbin","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Lizhong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/23.556880"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IRPS.2009.5173251"},{"key":"ref33","year":"0","journal-title":"Predictive Technology Model"},{"key":"ref32","author":"weste","year":"0","journal-title":"CMOS VLSI Design A Circuits and Systems Perspective"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2007.910871"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2014.2343259"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2014.2"},{"key":"ref36","year":"0"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1145\/2684746.2689060","article-title":"Optimizing fpga-based accelerator design for deep convolutional neural networks","author":"zhang","year":"2015","journal-title":"Proceedings of the 2015 ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2012.08.001"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2009.2032090"},{"key":"ref27","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TDMR.2005.855790"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref20","article-title":"Nuclear energy systems behavior and decision making using machine learning","author":"fernandez","year":"2017","journal-title":"Nuclear Engineering and Design"},{"key":"ref22","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref21","author":"lecun","year":"0","journal-title":"Convolutional networks and applications in vision"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref23","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1145\/3140659.3080221","article-title":"Maximizing cnn accelerator efficiency through resource partitioning","author":"shen","year":"2017","journal-title":"International Symposium on Computer Architecture (ISCA)"},{"key":"ref25","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2003.816139"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/996566.996571"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021740"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2010.2043271"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2017.8282183"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2014.2304658"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001138"},{"key":"ref15","author":"han","year":"2015","journal-title":"Deep compression Compressing deep neural networks with pruning trained quantization and huffman coding"},{"key":"ref16","year":"2016","journal-title":"tiny-dnn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00018"},{"key":"ref19","article-title":"Deep convolutional neural networks and learning ecg features for screening paroxysmal atrial fibrillation patients","author":"pourbabaee","year":"2017","journal-title":"IEEE Transactions on Systems Man and Cybernetics Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2013.2260357"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2011.2168425"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126964"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2011.2123918"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2012.2185303"},{"key":"ref7","article-title":"An early resource characterization of deep learning on wearables, smartphones and internet-of-things devices","author":"lane","year":"2015","journal-title":"Int Workshop on Internet of Things towards Applications"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2014.2304658"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2011.2181387"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2016.2645282"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TDMR.2016.2593590"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IITA.2008.336"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/DATE.2007.364504"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2014.2361514"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TDMR.2011.2167233"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TDMR.2015.2456832"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2015.2410275"}],"event":{"name":"2018 IEEE International Conference on Networking, Architecture and Storage (NAS)","location":"Chongqing","start":{"date-parts":[[2018,10,11]]},"end":{"date-parts":[[2018,10,14]]}},"container-title":["2018 IEEE International Conference on Networking, Architecture and Storage (NAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8515292\/8515684\/08515692.pdf?arnumber=8515692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:28:04Z","timestamp":1598225284000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8515692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/nas.2018.8515692","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}