{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:40:46Z","timestamp":1755999646257,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,15]],"date-time":"2017-10-15T00:00:00Z","timestamp":1508025600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DGE-1656518"],"award-info":[{"award-number":["DGE-1656518"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","award":["2013-01024-06"],"award-info":[{"award-number":["2013-01024-06"]}],"id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["W909MY-16-1-0001"],"award-info":[{"award-number":["W909MY-16-1-0001"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Stanford SystemX Alliance"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,15]]},"DOI":"10.1145\/3125502.3125531","type":"proceedings-article","created":{"date-parts":[[2017,10,16]],"date-time":"2017-10-16T12:37:48Z","timestamp":1508157468000},"page":"1-2","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["3D nanosystems enable\n            <i>embedded<\/i>\n            abundant-data computing"],"prefix":"10.1145","author":[{"given":"William","family":"Hwang","sequence":"first","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed M. Sabry","family":"Aly","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yash H.","family":"Malviya","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyu","family":"Gao","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tony F.","family":"Wu","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Kozyrakis","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.-S. Philip","family":"Wong","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subhasish","family":"Mitra","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,10,15]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"000X","volume":"1","author":"Aly M.S.","year":"2015","unstructured":"M. M.S. Aly XT 1 , 000X ,\" IEEE Computer, 2015 . M.M.S. Aly et al., \"Energy-Efficient Abundant-Data Computing: The N3XT 1,000X,\" IEEE Computer, 2015.","journal-title":"XT"},{"key":"e_1_3_2_1_2_1","author":"Zhang J.","year":"2012","unstructured":"J. Zhang Trans. CAD , 2012 . J. Zhang et al., \"Carbon Nanotube Robust Digital VLSI,\" IEEE Trans. CAD, 2012.","journal-title":"Trans. CAD"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM.2012.6479083"},{"key":"e_1_3_2_1_4_1","volume-title":"Technology Optimization for High Energy-Efficiency Computation,\" IEDM Short Course","author":"Frank D.J.","year":"2012","unstructured":"D.J. Frank and L. Chang , \" Technology Optimization for High Energy-Efficiency Computation,\" IEDM Short Course , 2012 . D.J. Frank and L. Chang, \"Technology Optimization for High Energy-Efficiency Computation,\" IEDM Short Course, 2012."},{"key":"e_1_3_2_1_5_1","unstructured":"G. Hills \"Variation-Aware Nanosystem Design Kit\" https:\/\/nanohub.org\/resources\/22582  G. Hills \"Variation-Aware Nanosystem Design Kit\" https:\/\/nanohub.org\/resources\/22582"},{"key":"e_1_3_2_1_6_1","author":"Hills G.","year":"2015","unstructured":"G. Hills Trans. CAD , 2015 . G. Hills et al., \"Rapid Co-optimization of Processing and Circuit Design to Overcome Carbon Nanotube Variations,\" IEEE Trans. CAD, 2015.","journal-title":"Trans. CAD"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature12502"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/nnano.2015.29"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757460"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature22994"},{"key":"e_1_3_2_1_11_1","volume-title":"Nano-engineered architectures for ultra-low power wireless body sensor nodes,\" CODES+ISSS","author":"Braojos R.","year":"2016","unstructured":"R. Braojos , \" Nano-engineered architectures for ultra-low power wireless body sensor nodes,\" CODES+ISSS , 2016 . R. Braojos et al., \"Nano-engineered architectures for ultra-low power wireless body sensor nodes,\" CODES+ISSS, 2016."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037702"},{"key":"e_1_3_2_1_14_1","volume-title":"Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,\" IEEE JSSCC","author":"Chen Y.-H.","year":"2017","unstructured":"Y.-H. Chen , \" Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,\" IEEE JSSCC , 2017 . Y.-H. Chen et al., \"Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,\" IEEE JSSCC, 2017."},{"key":"e_1_3_2_1_15_1","volume-title":"Understanding and Optimizing Asynchronous Low-precision Stochastic Gradient Descent,\" ISCA","author":"De Sa C.","year":"2017","unstructured":"C. De Sa , \" Understanding and Optimizing Asynchronous Low-precision Stochastic Gradient Descent,\" ISCA , 2017 . C. De Sa et al., \"Understanding and Optimizing Asynchronous Low-precision Stochastic Gradient Descent,\" ISCA, 2017."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2485922.2485963"},{"key":"e_1_3_2_1_17_1","volume-title":"Efficient Processing of Deep Neural Networks:A Tutorial and Survey,\" arXiv preprint","author":"Sze V.","year":"2017","unstructured":"V. Sze , \" Efficient Processing of Deep Neural Networks:A Tutorial and Survey,\" arXiv preprint , 2017 . V. Sze et al., \"Efficient Processing of Deep Neural Networks:A Tutorial and Survey,\" arXiv preprint, 2017."},{"key":"e_1_3_2_1_18_1","author":"Sridhar A.","year":"2014","unstructured":"A. Sridhar A Compact Thermal Model for Early-Stage Design of Liquid-Cooled ICs,\" IEEE Trans. Computers , 2014 . A. Sridhar et al., \"3D-ICE: A Compact Thermal Model for Early-Stage Design of Liquid-Cooled ICs,\" IEEE Trans. Computers, 2014.","journal-title":"Trans. Computers"},{"key":"e_1_3_2_1_19_1","volume-title":"A figure of merit for mobile device thermal management,\" IEEE ITherm","author":"Chiriac V.","year":"2016","unstructured":"V. Chiriac , \" A figure of merit for mobile device thermal management,\" IEEE ITherm , 2016 . V. Chiriac et al., \"A figure of merit for mobile device thermal management,\" IEEE ITherm, 2016."},{"key":"e_1_3_2_1_20_1","volume-title":"Show and Tell: A Neural Image Caption Generator,\" IEEE CVPR","author":"Vinyals O.","year":"2015","unstructured":"O. Vinyals , \" Show and Tell: A Neural Image Caption Generator,\" IEEE CVPR , 2015 . O. Vinyals et al., \"Show and Tell: A Neural Image Caption Generator,\" IEEE CVPR, 2015."},{"key":"e_1_3_2_1_21_1","volume-title":"Exploring the Limits of Language Modeling,\" arXiv preprint","author":"Jozefowicz R.","year":"2016","unstructured":"R. Jozefowicz , \" Exploring the Limits of Language Modeling,\" arXiv preprint , 2016 . R. Jozefowicz et al., \"Exploring the Limits of Language Modeling,\" arXiv preprint, 2016."},{"key":"e_1_3_2_1_22_1","volume-title":"ImageNet Classification with Deep Convolution Neural Networks,\" NIPS","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , \" ImageNet Classification with Deep Convolution Neural Networks,\" NIPS , 2012 . A. Krizhevsky et al., \"ImageNet Classification with Deep Convolution Neural Networks,\" NIPS, 2012."},{"key":"e_1_3_2_1_23_1","volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition,\" ICLR","author":"Simoyan K.","year":"2015","unstructured":"K. Simoyan , \" Very Deep Convolutional Networks for Large-Scale Image Recognition,\" ICLR , 2015 . K. Simoyan et al., \"Very Deep Convolutional Networks for Large-Scale Image Recognition,\" ICLR, 2015."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"ESWEEK'17: THIRTEENTH EMBEDDED SYSTEM WEEK","acronym":"ESWEEK'17","location":"Seoul Republic of Korea"},"container-title":["Proceedings of the Twelfth IEEE\/ACM\/IFIP International Conference on Hardware\/Software Codesign and System Synthesis Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3125502.3125531","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3125502.3125531","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3125502.3125531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:05Z","timestamp":1750217405000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3125502.3125531"}},"subtitle":["special session paper"],"short-title":[],"issued":{"date-parts":[[2017,10,15]]},"references-count":24,"alternative-id":["10.1145\/3125502.3125531","10.1145\/3125502"],"URL":"https:\/\/doi.org\/10.1145\/3125502.3125531","relation":{},"subject":[],"published":{"date-parts":[[2017,10,15]]},"assertion":[{"value":"2017-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}