{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:10:21Z","timestamp":1740132621488,"version":"3.37.3"},"reference-count":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSERC COHESA research network"},{"name":"NSERC Discovery program"},{"DOI":"10.13039\/100004358","name":"Samsung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004358","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Micro"],"published-print":{"date-parts":[[2019,9,1]]},"DOI":"10.1109\/mm.2019.2930596","type":"journal-article","created":{"date-parts":[[2019,7,30]],"date-time":"2019-07-30T20:25:33Z","timestamp":1564518333000},"page":"26-35","source":"Crossref","is-referenced-by-count":0,"title":["Accelerating Image-Sensor-Based Deep Learning Applications"],"prefix":"10.1109","volume":"39","author":[{"given":"Mostafa","family":"Mahmoud","sequence":"first","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dylan Malone","family":"Stuart","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zissis","family":"Poulos","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto Delmas","family":"Lascorz","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Judd","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sayeh","family":"Sharify","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milos","family":"Nikolic","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Siu","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isak Edo","family":"Vivancos","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Albericio","sequence":"additional","affiliation":[{"name":"Cerebras"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Moshovos","sequence":"additional","affiliation":[{"name":"University of Toronto"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.643"},{"key":"ref13","first-page":"1","article-title":"Faster CNNs with direct sparse convolutions and guided pruning","author":"park","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref4","first-page":"23:1","article-title":"Proteus: Exploiting numerical precision variability in deep neural networks","author":"judd","year":"0","journal-title":"Proc Int Conf Supercomput"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2018.8573527"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322255"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3123982"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304041"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2014.58"},{"key":"ref2","article-title":"DPRed: Making typical activation values matter in deep learning computing","volume":"abs 1804 6732","author":"delmas","year":"2018","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"}],"container-title":["IEEE Micro"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/40\/8833530\/08781863.pdf?arnumber=8781863","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:07:47Z","timestamp":1657746467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8781863\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,1]]},"references-count":13,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/mm.2019.2930596","relation":{},"ISSN":["0272-1732","1937-4143"],"issn-type":[{"type":"print","value":"0272-1732"},{"type":"electronic","value":"1937-4143"}],"subject":[],"published":{"date-parts":[[2019,9,1]]}}}