{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:04:20Z","timestamp":1753884260171},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/hpec.2019.8916403","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T12:11:36Z","timestamp":1575029496000},"page":"1-7","source":"Crossref","is-referenced-by-count":11,"title":["Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System"],"prefix":"10.1109","author":[{"given":"Wenjia","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Yun","family":"Song","sequence":"additional","affiliation":[]},{"given":"Zihao","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Yongchen","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Suwen","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Long","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Nsf cloudlab","year":"0","key":"ref30"},{"journal-title":"Amazon Web Service","year":"0","key":"ref10"},{"journal-title":"Microsoft Azure","year":"0","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2017.8038421"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCNC.2016.7440717"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2018.00095"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/PCCC.2015.7410279"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3127490"},{"key":"ref17","article-title":"Freezeout: Accelerate training by progressively freezing layers","author":"brock","year":"2017","journal-title":"arXiv preprint arXiv 1706 04983"},{"key":"ref18","article-title":"Tictac: Accelerating distributed deep learning with communication scheduling","author":"hashemi","year":"2018","journal-title":"arXiv preprint arXiv 1803 03288"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2644658"},{"journal-title":"Apple face id","year":"0","key":"ref4"},{"journal-title":"Kubernetes","year":"0","key":"ref27"},{"journal-title":"Autopilot review","year":"0","key":"ref3"},{"journal-title":"This person does not exist","year":"0","key":"ref6"},{"key":"ref29","article-title":"Spyre: A resource management framework for container-based clouds","author":"rajamani","year":"2015","journal-title":"USENIX Container Management Summit"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2006.884093"},{"journal-title":"Artificial Neural Network","year":"0","key":"ref8"},{"journal-title":"Generative adversarial networks","year":"0","key":"ref7"},{"journal-title":"Waymo","year":"0","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CCBD.2016.029"},{"journal-title":"Telsa autopilot","year":"0","key":"ref1"},{"journal-title":"Aws deep learning containers","year":"0","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/PCCC.2017.8280474"},{"journal-title":"Azure kubernetes service","year":"0","key":"ref21"},{"journal-title":"TensorFlow™","year":"0","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3337821.3337868"},{"journal-title":"ET Docker","year":"0","key":"ref26"},{"journal-title":"PyTorch","year":"0","key":"ref25"}],"event":{"name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","start":{"date-parts":[[2019,9,24]]},"location":"Waltham, MA, USA","end":{"date-parts":[[2019,9,26]]}},"container-title":["2019 IEEE High Performance Extreme Computing Conference (HPEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8910148\/8916214\/08916403.pdf?arnumber=8916403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:22:04Z","timestamp":1658157724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8916403\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/hpec.2019.8916403","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}