{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:25:54Z","timestamp":1750220754770,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,17]],"date-time":"2020-08-17T00:00:00Z","timestamp":1597622400000},"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":[[2020,8,17]]},"DOI":"10.1145\/3404397.3404474","type":"proceedings-article","created":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T03:54:26Z","timestamp":1596945266000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards High-Efficiency Data Centers via Job-Aware Network Scheduling"],"prefix":"10.1145","author":[{"given":"Yang","family":"Shi","sequence":"first","affiliation":[{"name":"National University of Defense Technology, China"}]},{"given":"Mei","family":"Wen","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}]},{"given":"Chunyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}]}],"member":"320","published-online":{"date-parts":[[2020,8,17]]},"reference":[{"volume-title":"Tensorflow: A system for large-scale machine learning. In 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16). 265\u2013283.","year":"2016","author":"Abadi Mart\u00edn","key":"e_1_3_2_1_1_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1145\/3230543.3230569"},{"unstructured":"Mohammad Al-Fares Sivasankar Radhakrishnan Barath Raghavan Nelson Huang Amin Vahdat 2010. Hedera: dynamic flow scheduling for data center networks.. In NSDI Vol.\u00a010.  Mohammad Al-Fares Sivasankar Radhakrishnan Barath Raghavan Nelson Huang Amin Vahdat 2010. Hedera: dynamic flow scheduling for data center networks.. In NSDI Vol.\u00a010.","key":"e_1_3_2_1_3_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1145\/2619239.2626316"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1145\/3126908.3126933"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.2200\/S00516ED2V01Y201306CAC024"},{"volume-title":"Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274(2015).","year":"2015","author":"Chen Tianqi","key":"e_1_3_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1109\/TWC.2016.2610430"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1145\/2390231.2390237"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1145\/2043164.2018448"},{"doi-asserted-by":"crossref","unstructured":"Mosharaf Chowdhury Yuan Zhong and Ion Stoica. 2014. Efficient coflow scheduling with varys. In ACM SIGCOMM Computer Communication Review Vol.\u00a044. ACM 443\u2013454.  Mosharaf Chowdhury Yuan Zhong and Ion Stoica. 2014. Efficient coflow scheduling with varys. In ACM SIGCOMM Computer Communication Review Vol.\u00a044. ACM 443\u2013454.","key":"e_1_3_2_1_11_1","DOI":"10.1145\/2740070.2626315"},{"volume-title":"Binaryconnect: Training deep neural networks with binary weights during propagations. In Advances in Neural Information Processing Systems. 3123\u20133131.","year":"2015","author":"Courbariaux Matthieu","key":"e_1_3_2_1_12_1"},{"volume-title":"International Conference on Machine Learning. 1737\u20131746","year":"2015","author":"Gupta Suyog","key":"e_1_3_2_1_13_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1109\/ICNP.2016.7784415"},{"unstructured":"Sayed\u00a0Hadi Hashemi Sangeetha\u00a0Abdu Jyothi and Roy\u00a0H Campbell. 2018. TicTac: Accelerating Distributed Deep Learning with Communication Scheduling. arXiv preprint arXiv:1803.03288(2018).  Sayed\u00a0Hadi Hashemi Sangeetha\u00a0Abdu Jyothi and Roy\u00a0H Campbell. 2018. TicTac: Accelerating Distributed Deep Learning with Communication Scheduling. arXiv preprint arXiv:1803.03288(2018).","key":"e_1_3_2_1_15_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1109\/INFOCOM.2016.7524469"},{"volume-title":"Online Partial Throughput Maximization for Multidimensional Coflow. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications. IEEE","year":"2018","author":"Im Sungjin","key":"e_1_3_2_1_17_1"},{"volume-title":"Integer programming: Theory and practice","author":"Karlof K","doi-asserted-by":"crossref","key":"e_1_3_2_1_18_1","DOI":"10.1201\/9781420039597"},{"volume-title":"11th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 14). 583\u2013598.","author":"Li Mu","key":"e_1_3_2_1_19_1"},{"unstructured":"Yujun Lin Song Han Huizi Mao Yu Wang and William\u00a0J Dally. 2017. Deep gradient compression: Reducing the communication bandwidth for distributed training. arXiv preprint arXiv:1712.01887(2017).  Yujun Lin Song Han Huizi Mao Yu Wang and William\u00a0J Dally. 2017. Deep gradient compression: Reducing the communication bandwidth for distributed training. arXiv preprint arXiv:1712.01887(2017).","key":"e_1_3_2_1_20_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1145\/2486159.2486187"},{"volume-title":"7th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 15).","author":"Mai Luo","key":"e_1_3_2_1_22_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1137\/0315059"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1109\/INFCOM.2013.6567018"},{"unstructured":"Gurobi Optimization. 2019. Gurobi Optimizer. Gurobi: http:\/\/www.gurobi.com(2019).  Gurobi Optimization. 2019. Gurobi Optimizer. Gurobi: http:\/\/www.gurobi.com(2019).","key":"e_1_3_2_1_25_1"},{"volume-title":"Computer software. Vers. 0.3 1","year":"2017","author":"Paszke Adam","key":"e_1_3_2_1_26_1"},{"volume-title":"A generic communication scheduler for distributed DNN training acceleration. SOSP","year":"2019","author":"Peng Yanghua","key":"e_1_3_2_1_27_1"},{"unstructured":"Alan Shieh Srikanth Kandula Albert\u00a0G Greenberg Changhoon Kim and Bikas Saha. 2011. Sharing the Data Center Network.. In NSDI Vol.\u00a011. 23\u201323.  Alan Shieh Srikanth Kandula Albert\u00a0G Greenberg Changhoon Kim and Bikas Saha. 2011. Sharing the Data Center Network.. In NSDI Vol.\u00a011. 23\u201323.","key":"e_1_3_2_1_28_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1109\/INFOCOM.2018.8486340"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_30_1","DOI":"10.1145\/3232565.3234504"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1145\/2806777.2806778"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_32_1","DOI":"10.1109\/INFOCOM.2014.6848094"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1109\/IWQoS.2018.8624122"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.1109\/SC.2016.25"},{"volume-title":"Spark: Cluster computing with working sets.HotCloud 10, 10-10","year":"2010","author":"Zaharia Matei","key":"e_1_3_2_1_35_1"},{"volume-title":"Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on {GPU} Clusters. In 2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17). 181\u2013193.","year":"2017","author":"Zhang Hao","key":"e_1_3_2_1_36_1"}],"event":{"acronym":"ICPP '20","name":"ICPP '20: 49th International Conference on Parallel Processing","location":"Edmonton AB Canada"},"container-title":["49th International Conference on Parallel Processing - ICPP"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404397.3404474","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3404397.3404474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:59Z","timestamp":1750199939000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404397.3404474"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,17]]},"references-count":36,"alternative-id":["10.1145\/3404397.3404474","10.1145\/3404397"],"URL":"https:\/\/doi.org\/10.1145\/3404397.3404474","relation":{},"subject":[],"published":{"date-parts":[[2020,8,17]]},"assertion":[{"value":"2020-08-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}