{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T08:51:47Z","timestamp":1765356707052,"version":"3.37.3"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["#1815882"],"award-info":[{"award-number":["#1815882"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Arch. Lett."],"published-print":{"date-parts":[[2020,1,1]]},"DOI":"10.1109\/lca.2020.2989440","type":"journal-article","created":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T19:41:11Z","timestamp":1587757271000},"page":"68-71","source":"Crossref","is-referenced-by-count":17,"title":["A Power-Aware Heterogeneous Architecture Scaling Model for Energy-Harvesting Computers"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8540-712X","authenticated-orcid":false,"given":"Harsh","family":"Desai","sequence":"first","affiliation":[]},{"given":"Brandon","family":"Lucia","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314583"},{"key":"ref11","first-page":"41","article-title":"Ink: Reactive kernel for tiny batteryless sensors","author":"y?ld?r?m","year":"2018","journal-title":"Proc ACM Conf Embedded Netw Sens Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3131673"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3302506.3310400"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3173162.3173210"},{"year":"2019","key":"ref15","article-title":"big.LITTLE Technology"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2678373.2665689"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080255"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304011"},{"key":"ref19","first-page":"84","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870353"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2737924.2737978"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3362053.3363491"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080238"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314613"},{"key":"ref2","first-page":"670","article-title":"Manic: An energy-efficient, parallel architecture for ultra-low-power embedded systems","author":"gobieski","year":"2019","journal-title":"Proc Int Symp Microarchitecture"},{"year":"0","key":"ref1","article-title":"Low energy accelerator"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2016.2547919"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3124552"},{"key":"ref22","first-page":"37","article-title":"An ultra-high energy-efficient reconfigurable processor for deep neural networks with binary\/ternary weights in 28nm CMOS","author":"yin","year":"2018","journal-title":"Proc IEEE Symp VLSI Circuits"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2019.8662302"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2011.5934952"},{"key":"ref23","first-page":"139","article-title":"A 141 UW, 2.46 PJ\/neuron binarized convolutional neural network based self-learning speech recognition processor in 28nm CMOS","author":"yin","year":"2018","journal-title":"Proc IEEE Symp VLSI Circuits"}],"container-title":["IEEE Computer Architecture Letters"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/10208\/8968801\/9078058-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10208\/8968801\/09078058.pdf?arnumber=9078058","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:01:07Z","timestamp":1651078867000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9078058\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,1]]},"references-count":24,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/lca.2020.2989440","relation":{},"ISSN":["1556-6056","1556-6064","2473-2575"],"issn-type":[{"type":"print","value":"1556-6056"},{"type":"electronic","value":"1556-6064"},{"type":"electronic","value":"2473-2575"}],"subject":[],"published":{"date-parts":[[2020,1,1]]}}}