{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T12:40:05Z","timestamp":1763642405000},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/iscas.2018.8351021","type":"proceedings-article","created":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T18:00:05Z","timestamp":1525456805000},"page":"1-5","source":"Crossref","is-referenced-by-count":44,"title":["An Approximate Memory Architecture for a Reduction of Refresh Power Consumption in Deep Learning Applications"],"prefix":"10.1109","author":[{"given":"Duy Thanh","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyuk-Jae","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ik-Joon","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"0","author":"simonyan","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"journal-title":"Calculating Memory System Power for DDR3 - Micron Technology","year":"0","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2017.2705144"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2366231.2337161"},{"key":"ref3","first-page":"1737","article-title":"Deep learning with limited numerical precision","author":"gupta","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2640296"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750408"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1950365.1950391"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2485922.2485928"},{"journal-title":"Training deep neural networks with low precision multiplications","year":"0","author":"courbariaux","key":"ref2"},{"journal-title":"Reduced - Precision Memory Value Approximation for Deep Learning","year":"0","author":"deng","key":"ref1"},{"key":"ref9","first-page":"1","article-title":"Sparkk: Quality-Scalable Approximate Storage in DRAM","author":"lucas","year":"2014","journal-title":"Memory Forum"}],"event":{"name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","start":{"date-parts":[[2018,5,27]]},"location":"Florence","end":{"date-parts":[[2018,5,30]]}},"container-title":["2018 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8334884\/8350884\/08351021.pdf?arnumber=8351021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T20:51:58Z","timestamp":1571691118000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8351021\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/iscas.2018.8351021","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}