{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T18:16:51Z","timestamp":1768414611410,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tc.2022.3180991","type":"journal-article","created":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T20:20:39Z","timestamp":1654806039000},"page":"1-13","source":"Crossref","is-referenced-by-count":8,"title":["HOME: A Holistic GPU Memory Management Framework for Deep Learning"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7075-4153","authenticated-orcid":false,"given":"Shuibing","family":"He","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6973-0755","authenticated-orcid":false,"given":"Ping","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuaiben","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Li","sequence":"additional","affiliation":[{"name":"Computer Science Program, School of Business, Stockton University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siling","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijian","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8062-8356","authenticated-orcid":false,"given":"Lidan","family":"Shou","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54024-5_6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1441"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00047"},{"key":"ref5","first-page":"783","article-title":"Inception-v3 for flower classification","volume-title":"Proc. Int. Conf. Image, Vis. Comput.","author":"Xia"},{"key":"ref6","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3417050"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00091"},{"key":"ref9","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","volume-title":"Proc. USENIX Symp. Operating Syst. Des. Implementation","author":"Mart\u00edn Abadi"},{"key":"ref10","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00070"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3307681.3326608"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783721"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8341972"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378530"},{"key":"ref17","article-title":"Checkmate: Breaking the memory wall with optimal tensor rematerialization","author":"Jain","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378505"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3178487.3178491"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2019.00030"},{"key":"ref21","first-page":"397","article-title":"Training deep nets with sublinear memory cost","author":"Chen","year":"2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392684"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378465"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2020.0110913"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/8134674"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/Cluster48925.2021.00019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3447818.3460366"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref32","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref34","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size","author":"Iandola","year":"2016"},{"key":"ref37","article-title":"The CIFAR-10 dataset","author":"Krizhevsky","year":"2009"},{"key":"ref38","first-page":"161","article-title":"Zico: Efficient GPU memory sharing for concurrent DNN training","volume-title":"Proc. USENIX Annu. Tech. Conf.","author":"Lim"},{"key":"ref39","article-title":"Exploring hidden dimensions in parallelizing convolutional neural networks","author":"Jia","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3302424.3303953"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.327"},{"key":"ref42","article-title":"Training deep neural networks with low precision multiplications","author":"Courbariaux","year":"2014"},{"key":"ref43","first-page":"91","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Han"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3357238"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/4358213\/09792443.pdf?arnumber=9792443","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:06:04Z","timestamp":1706756764000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9792443\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/tc.2022.3180991","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}