{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T21:08:06Z","timestamp":1721941686465},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Defense Challengeable Future Technology Program of the Agency for Defense Development"},{"DOI":"10.13039\/501100003696","name":"Electronics and Telecommunications Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003696","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Core Technology Research for Self-Improving Integrated Artificial Intelligence System","award":["20ZS1100"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tie.2021.3095790","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T18:49:36Z","timestamp":1629830976000},"page":"7244-7254","source":"Crossref","is-referenced-by-count":6,"title":["Cooperative Distributed GPU Power Capping for Deep Learning Clusters"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-1314-8189","authenticated-orcid":false,"given":"Dong-Ki","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Information Technology, Jeonbuk National University, Jeonju, South Korea"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6437-6988","authenticated-orcid":false,"given":"Yun-Gi","family":"Ha","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9984-9861","authenticated-orcid":false,"given":"Limei","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3970-7308","authenticated-orcid":false,"given":"Chan-Hyun","family":"Youn","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2011.93"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1346281.1346289"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2010.31"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2012.67"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3004623"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057205"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00072"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387555"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2962131"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3307772.3328315"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid49817.2020.00-15"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2010.06.002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2014.23"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2014.03.010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2006.879350"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3182\/20140824-6-ZA-1003.00294"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Karen","year":"2015"},{"key":"ref21","first-page":"947","article-title":"Analysis of large-scale multi-tenant GPU clusters for DNN training workloads","volume-title":"Proc. USENIX Annu. Tech. Conf.","author":"Jeon","year":"2019"},{"key":"ref22","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2016.25"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2945397"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2014.2309751"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001187"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/9709233\/09484692.pdf?arnumber=9484692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:52:10Z","timestamp":1705013530000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9484692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":27,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tie.2021.3095790","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}