{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:18:17Z","timestamp":1759331897948,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100008504","name":"Cockrell School of Engineering, University of Texas at Austin","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008504","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008562","name":"NASCENT Center\u2019s Nanoengineering Online Education Program at the University of Texas at Austin","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008562","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Solid-State Circuits"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/jssc.2020.3041502","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T20:44:50Z","timestamp":1609274690000},"page":"2205-2220","source":"Crossref","is-referenced-by-count":20,"title":["COMPAC: Compressed Time-Domain, Pooling-Aware Convolution CNN Engine With Reduced Data Movement for Energy-Efficient AI Computing"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3078-9498","authenticated-orcid":false,"given":"Aseem","family":"Sayal","sequence":"first","affiliation":[]},{"given":"Shirin","family":"Fathima","sequence":"additional","affiliation":[]},{"given":"SS Teja","family":"Nibhanupudi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0258-6776","authenticated-orcid":false,"given":"Jaydeep P.","family":"Kulkarni","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"year":"2020","journal-title":"Xilinx FMC XM105 Debug Card","key":"ref31"},{"year":"2020","journal-title":"Xilinx virtex-7 FPGA vc707 Evaluation Kit","key":"ref30"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/PC.2019.8815057"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/CBS.2017.8266104"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TPAMI.2017.2703082"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ISSCC.2016.7418008"},{"key":"ref14","first-page":"246","article-title":"14.5 envision: A 0.26-to-10TOPS\/W subword-parallel dynamic-voltage-accuracy-frequency-scalable convolutional neural network processor in 28nm FDSOI","author":"moons","year":"2017","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/VLSIC.2018.8502404"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.23919\/VLSIC.2019.8778193"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/JSSC.2018.2865489"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/JSSC.2018.2871623"},{"key":"ref19","first-page":"490","article-title":"A 42pJ\/decision 3.12TOPS\/W robust in-memory machine learning classifier with on-chip training","author":"gonugondla","year":"2018","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CICC48029.2020.9075931"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/JSSC.2016.2616357"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/JSSC.2013.2297412"},{"key":"ref3","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR.2017.643"},{"key":"ref29","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/JSSC.2016.2636225"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ISSCC.2019.8662510"},{"key":"ref7","first-page":"10","article-title":"Computing’s energy problem (and what we can do about it)","author":"horowitz","year":"2014","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/CVPR.2014.220"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/JSSC.2019.2939888"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/MSP.2012.2205597"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/JSSC.2016.2642198"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CICC.2017.7993627"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ISSCC.2018.8310397"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/ASSCC.2016.7844126"},{"key":"ref23","first-page":"124","article-title":"A 55nm time-domain mixed-signal neuromorphic accelerator with stochastic synapses and embedded reinforcement learning for autonomous micro-robots","author":"amravati","year":"2018","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/TCSI.2015.2451912"}],"container-title":["IEEE Journal of Solid-State Circuits"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4\/9466892\/09310226.pdf?arnumber=9310226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:57Z","timestamp":1652194497000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9310226\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":31,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/jssc.2020.3041502","relation":{},"ISSN":["0018-9200","1558-173X"],"issn-type":[{"type":"print","value":"0018-9200"},{"type":"electronic","value":"1558-173X"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}