{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:01:07Z","timestamp":1751860867387,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T00:00:00Z","timestamp":1534118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,8,13]]},"DOI":"10.1145\/3225058.3225070","type":"proceedings-article","created":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T19:13:06Z","timestamp":1533755586000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Learning Driven Parallelization for Large-Scale Video Workload in Hybrid CPU-GPU Cluster"],"prefix":"10.1145","author":[{"given":"Haitao","family":"Zhang","sequence":"first","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, BUPT, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingchang","family":"Tang","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, BUPT, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Geng","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, BUPT, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huadong","family":"Ma","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, BUPT, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,8,13]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1109\/TPDS.2017.2675891"},{"doi-asserted-by":"crossref","unstructured":"L. Bottou. 2012. Stochastic Gradient Descent Tricks. In Neural Networks: Tricks of the Trade. 421--436. L. Bottou. 2012. Stochastic Gradient Descent Tricks. In Neural Networks: Tricks of the Trade. 421--436.","key":"e_1_3_2_1_2_1","DOI":"10.1007\/978-3-642-35289-8_25"},{"doi-asserted-by":"crossref","unstructured":"M. X. Cheng J. Li and S. H. Nazarian. 2018. DRL-Cloud: Deep Reinforcement Learning-based Resource Provisioning and Task Scheduling for Cloud Service Providers. In ASP-DAC. 129--134. M. X. Cheng J. Li and S. H. Nazarian. 2018. DRL-Cloud: Deep Reinforcement Learning-based Resource Provisioning and Task Scheduling for Cloud Service Providers. In ASP-DAC. 129--134.","key":"e_1_3_2_1_3_1","DOI":"10.1109\/ASPDAC.2018.8297294"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1007\/s10586-016-0686-2"},{"unstructured":"R. Salakhutdinov E. Parisotto J. L. Ba. 2016. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning. In arXiv preprint arXiv:1511.06342. R. Salakhutdinov E. Parisotto J. L. Ba. 2016. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning. In arXiv preprint arXiv:1511.06342.","key":"e_1_3_2_1_5_1"},{"doi-asserted-by":"crossref","unstructured":"D. P. Fu Y. H. Xiong C. D. Lu M. Wu and K. Y. Jiang. 2016. A Task Scheduling Method for Energy-Efficient Cloud Video Surveillance System Using A Time-Clustering-Based Genetic Algorithm. In IEEE ICPADS. 661--668. D. P. Fu Y. H. Xiong C. D. Lu M. Wu and K. Y. Jiang. 2016. A Task Scheduling Method for Energy-Efficient Cloud Video Surveillance System Using A Time-Clustering-Based Genetic Algorithm. In IEEE ICPADS. 661--668.","key":"e_1_3_2_1_6_1","DOI":"10.1109\/ICPADS.2016.0092"},{"key":"e_1_3_2_1_7_1","volume-title":"Reverse: GPU-based Image Processing and Computer Vision","author":"Fung J.","year":"2008","unstructured":"J. Fung and S. Mann . 2008 . Using Graphics Devices in Reverse: GPU-based Image Processing and Computer Vision . In IEEE ICME. 9--12. J. Fung and S. Mann. 2008. Using Graphics Devices in Reverse: GPU-based Image Processing and Computer Vision. In IEEE ICME. 9--12."},{"doi-asserted-by":"crossref","unstructured":"Y. Y. Gao H. T. Zhang Y. P. Zhu B. C. Tang and H. D. Ma. 2017. A Load-Aware Data Migration Scheme for Distributed Surveillance Video Processing with Hybrid Storage Architecture. In IEEE HPCC. 563--570. Y. Y. Gao H. T. Zhang Y. P. Zhu B. C. Tang and H. D. Ma. 2017. A Load-Aware Data Migration Scheme for Distributed Surveillance Video Processing with Hybrid Storage Architecture. In IEEE HPCC. 563--570.","key":"e_1_3_2_1_8_1","DOI":"10.1109\/HPCC-SmartCity-DSS.2017.73"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1109\/ICPP.2011.18"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1109\/ICPP.2014.11"},{"doi-asserted-by":"crossref","unstructured":"J. W. Liu and H. Y. Shen. 2016. Dependency-Aware and Resource-Efficient Scheduling for Heterogeneous Jobs in Clouds. In IEEE Cloudcom. 110--117. J. W. Liu and H. Y. Shen. 2016. Dependency-Aware and Resource-Efficient Scheduling for Heterogeneous Jobs in Clouds. In IEEE Cloudcom. 110--117.","key":"e_1_3_2_1_11_1","DOI":"10.1109\/CloudCom.2016.0032"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1109\/TPDS.2013.272"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1145\/3005745.3005750"},{"key":"e_1_3_2_1_14_1","volume-title":"Silver et al","author":"Mnih V.","year":"2013","unstructured":"V. Mnih , K. Kavukcuoglu , and D. Silver et al . 2013 . Playing Atari with Deep Reinforcement Learning . arXiv preprint arXiv:1312.5602 (2013). V. Mnih, K. Kavukcuoglu, and D. Silver et al. 2013. Playing Atari with Deep Reinforcement Learning. arXiv preprint arXiv:1312.5602 (2013)."},{"doi-asserted-by":"crossref","unstructured":"A. Naithani S. Eyerman and L. Eeckhout. 2017. Reliability-Aware Scheduling on Heterogeneous Multicore Processors. In IEEE HPCA. 397--408. A. Naithani S. Eyerman and L. Eeckhout. 2017. Reliability-Aware Scheduling on Heterogeneous Multicore Processors. In IEEE HPCA. 397--408.","key":"e_1_3_2_1_15_1","DOI":"10.1109\/HPCA.2017.12"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1109\/TKDE.2009.191"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1109\/CLOUD.2010.73"},{"key":"e_1_3_2_1_18_1","volume-title":"Maddison et al","author":"Silver D.","year":"2016","unstructured":"D. Silver , A. Huang , and C. J. Maddison et al . 2016 . Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature 529, 7587 (2016), 484--489. D. Silver, A. Huang, and C. J. Maddison et al. 2016. Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature 529, 7587 (2016), 484--489."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/TCSVT.2015.2416562"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1109\/IPDPS.2012.101"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/IPDPS.2013.11"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1016\/j.jpdc.2014.03.007"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1016\/j.jnca.2015.06.017"},{"doi-asserted-by":"crossref","unstructured":"H. B. Yang J. H. Guo C. Liang Z. Lei and C. S. Wang. 2016. An Optimization of the Delay Scheduling Algorithm for Real-Time Video Stream Processing. In Frontier Computing. 173--183. H. B. Yang J. H. Guo C. Liang Z. Lei and C. S. Wang. 2016. An Optimization of the Delay Scheduling Algorithm for Real-Time Video Stream Processing. In Frontier Computing. 173--183.","key":"e_1_3_2_1_24_1","DOI":"10.1007\/978-981-10-0539-8_18"},{"doi-asserted-by":"crossref","unstructured":"H. T. Zhang B. Xu J. Yan L. J. Liu and H. D. Ma. 2016. Proactive Data Placement for Surveillance Video Processing in Heterogeneous Cluster. In IEEE Cloudcom. 206--213. H. T. Zhang B. Xu J. Yan L. J. Liu and H. D. Ma. 2016. Proactive Data Placement for Surveillance Video Processing in Heterogeneous Cluster. In IEEE Cloudcom. 206--213.","key":"e_1_3_2_1_25_1","DOI":"10.1109\/CloudCom.2016.0044"},{"doi-asserted-by":"crossref","unstructured":"H. T. Zhang J. Yan and Y. Kou. 2016. Efficient Online Surveillance Video Processing Based on Spark Framework. In Bigcom. 309--318. H. T. Zhang J. Yan and Y. Kou. 2016. Efficient Online Surveillance Video Processing Based on Spark Framework. In Bigcom. 309--318.","key":"e_1_3_2_1_26_1","DOI":"10.1007\/978-3-319-42553-5_26"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.5555\/2794084.2794133"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1109\/JSTARS.2015.2390626"}],"event":{"sponsor":["University of Oregon University of Oregon"],"acronym":"ICPP 2018","name":"ICPP 2018: 47th International Conference on Parallel Processing","location":"Eugene OR USA"},"container-title":["Proceedings of the 47th International Conference on Parallel Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3225058.3225070","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3225058.3225070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T07:51:18Z","timestamp":1751788278000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3225058.3225070"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,13]]},"references-count":28,"alternative-id":["10.1145\/3225058.3225070","10.1145\/3225058"],"URL":"https:\/\/doi.org\/10.1145\/3225058.3225070","relation":{},"subject":[],"published":{"date-parts":[[2018,8,13]]},"assertion":[{"value":"2018-08-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}