{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:06Z","timestamp":1750220046193,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T00:00:00Z","timestamp":1676592000000},"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":[[2023,2,17]]},"DOI":"10.1145\/3587716.3587744","type":"proceedings-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T23:27:30Z","timestamp":1694129250000},"page":"172-176","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CHESS: Joint Energy and Makespan Optimization for Dynamic CNN Task Scheduling on the Heterogeneous System"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5045-1075","authenticated-orcid":false,"given":"Zimo","family":"Ma","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8900-294X","authenticated-orcid":false,"given":"Yifeng","family":"Li","sequence":"additional","affiliation":[{"name":"SHENYUAN Honors College, Beihang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-8739","authenticated-orcid":false,"given":"Di","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4354-277X","authenticated-orcid":false,"given":"Ziheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"SHENYUAN Honors College, Beihang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5831-6935","authenticated-orcid":false,"given":"Kuangyu","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"volume-title":"Online job scheduling in distributed machine learning clusters","author":"Bao Yixin","key":"e_1_3_2_1_1_1","unstructured":"Yixin Bao, Yanghua Peng, Chuan Wu, and Zongpeng Li. 2018. Online job scheduling in distributed machine learning clusters. In INFOCOM. IEEE, 495\u2013503."},{"volume-title":"Multiple CNN-based tasks scheduling across shared GPU platform in research and development scenarios","author":"Chen Zhaoyun","key":"e_1_3_2_1_2_1","unstructured":"Zhaoyun Chen, Lei Luo, Wei Quan, Yang Shi, Jie Yu, Mei Wen, and Chunyuan Zhang. 2018. Multiple CNN-based tasks scheduling across shared GPU platform in research and development scenarios. In HPCC\/SmartCity\/DSS. IEEE, 578\u2013585."},{"key":"e_1_3_2_1_3_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770\u2013778."},{"key":"e_1_3_2_1_4_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861","author":"Howard G","year":"2017","unstructured":"Andrew\u00a0G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)."},{"volume-title":"Efficient video captioning on heterogeneous system architectures","author":"Huang Horng-Ruey","key":"e_1_3_2_1_5_1","unstructured":"Horng-Ruey Huang, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, and Wei-Chung Hsu. 2021. Efficient video captioning on heterogeneous system architectures. In IPDPS. IEEE, 1035\u20131045."},{"key":"e_1_3_2_1_6_1","unstructured":"Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao and Fan Yang. 2019. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. In USENIX ATC. 947\u2013960."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_8_1","unstructured":"Deepak Narayanan Keshav Santhanam Fiodar Kazhamiaka Amar Phanishayee and Matei Zaharia. 2020. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. In OSDI. 481\u2013498."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3190508.3190517"},{"key":"e_1_3_2_1_10_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_11_1","volume-title":"Efficientnet: Rethinking model scaling for convolutional neural networks. In ICML. PMLR, 6105\u20136114.","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc Le. 2019. Efficientnet: Rethinking model scaling for convolutional neural networks. In ICML. PMLR, 6105\u20136114."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3302424.3303953"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3181096"},{"volume-title":"Balancing Energy Efficiency and Real-Time Performance in GPU Scheduling","author":"Wang Yidi","key":"e_1_3_2_1_14_1","unstructured":"Yidi Wang, Mohsen Karimi, Yecheng Xiang, and Hyoseung Kim. 2021. Balancing Energy Efficiency and Real-Time Performance in GPU Scheduling. In RTSS. IEEE, 110\u2013122."},{"volume-title":"The Microsoft 2017 conversational speech recognition system","author":"Xiong Wayne","key":"e_1_3_2_1_15_1","unstructured":"Wayne Xiong, Lingfeng Wu, Fil Alleva, Jasha Droppo, Xuedong Huang, and Andreas Stolcke. 2018. The Microsoft 2017 conversational speech recognition system. In ICASSP. IEEE, 5934\u20135938."}],"event":{"name":"ICMLC 2023: 2023 15th International Conference on Machine Learning and Computing","acronym":"ICMLC 2023","location":"Zhuhai China"},"container-title":["Proceedings of the 2023 15th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587716.3587744","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3587716.3587744","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:07:59Z","timestamp":1750183679000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587716.3587744"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,17]]},"references-count":15,"alternative-id":["10.1145\/3587716.3587744","10.1145\/3587716"],"URL":"https:\/\/doi.org\/10.1145\/3587716.3587744","relation":{},"subject":[],"published":{"date-parts":[[2023,2,17]]},"assertion":[{"value":"2023-09-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}