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ORCIDACM SIGOPS: Operating Systems Review, Volume 53
Volume 53, Number 1, July 2019
- Sanjay Krishnan, Aaron J. Elmore
, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu:
Artificial Intelligence in Resource-Constrained and Shared Environments. 1-6 - Ken Birman, Bharath Hariharan, Christopher De Sa:
Cloud-Hosted Intelligence for Real-time IoT Applications. 7-13 - Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. 14-25 - Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun:
Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. 26-33 - Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou:
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer. 34-39 - Yiying Zhang, Yutong Huang:
"Learned": Operating Systems. 40-45 - David Vengerov, Sesh Jalagam:
A Machine Learning Approach to Recommending Files in a Collaborative Work Environment. 46-51 - Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, Peter R. Pietzuch:
Taming Hyper-parameters in Deep Learning Systems. 52-58 - Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang:
Bringing Engineering Rigor to Deep Learning. 59-67 - Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou:
The Case for Learning-and-System Co-design. 68-74 - Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu:
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. 75-84 - Yifan Du, Valérie Issarny, Françoise Sailhan:
When the Power of the Crowd Meets the Intelligence of the Middleware: The Mobile Phone Sensing Case. 85-90
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