OSDI '20 Accepted Papers

The papers below have been accepted for publication at OSDI '20. The full program will be available soon.

Semeru: A Memory-Disaggregated Managed Runtime

Chenxi Wang, Haoran Ma, Shi Liu, and Yuanqi Li, UCLA; Zhenyuan Ruan, MIT; Khanh Nguyen, Google and Texas A&M University; Michael Bond, Ohio State University; Ravi Netravali, Miryung Kim, and Guoqing Harry Xu, UCLA

Twine: a Unified Cluster Management System for Shared Infrastructure

Chunqiang Tang, Kenny Yu, Kaushik Veeraraghavan, Jonathan Kaldor, Scott Michelson, Thawan Kooburat, Aravind Anbudurai, Matt Clark, Kabir Gogia, Long Cheng, Ben Christensen, Alex Gartrell, Maxim Khutornenko, Sachin Kulkarni, Marcin Pawlowski, Tuomas Pelkonen, Andre Rodrigues, Rounak Tibrewal, Vaishnavi Venkatesan, and Peter Zhang, Facebook

Virtual Consensus in Delos

Mahesh Balakrishnan, Jason Flinn, Chen Shen, Mihir Dharamshi, Ahmed Jafri, Xiao Shi, Santosh Ghosh, Hazem Hassan, Aaryaman Sagar, Rhed Shi, Jingming Liu, Filip Gruszczynski, Xianan Zhang, Huy Hoang, Ahmed Yossef, Francois Richard, and Yee Jiun Song, Facebook

Ansor: Generating High-Performance Tensor Programs for Deep Learning

Lianmin Zheng, UC Berkeley; Chengfan Jia, Minmin Sun, and Zhao Wu, Alibaba Inc.; Cody Hao Yu, Amazon Web Services, Inc; Ameer Haj-Ali, UC Berkeley; Yida Wang, Amazon Web Services, Inc; Jun Yang, Alibaba Inc.; Danyang Zhuo, Duke University and UC Berkeley; Koushik Sen, Joseph Gonzalez, and Ion Stoica, UC Berkeley

Assise: Performance and Availability via NVM Colocation in a Distributed File System

Thomas Anderson, University of Washington; Marco Canini, KAUST; Jongyul Kim, KAIST; Dejan Kostić, KTH Royal Institute of Technology; Youngjin Kwon, KAIST; Simon Peter, The University of Texas at Austin; Waleed Reda, Universite catholique de Louvain / KTH Royal Institute of Technology; Henry N. Schuh, University of Washington; and Emmett Witchel, The University of Texas at Austin;

RSCS: A Microsecond-Scale Scheduler for Rack-Scale Computers

Hang Zhu, Johns Hopkins University; Kostis Kaffes, Stanford University; Zixu Chen, Johns Hopkins University; Zhenming Liu, College of William and Mary; Christos Kozyrakis, Stanford University; Ion Stoica, UC Berkeley; Xin Jin, Johns Hopkins University

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees

Hanyu Zhao, Peking University; Zhenhua Han, The University of Hong Kong; Zhi Yang, Peking University; Quanlu Zhang, Fan Yang, Lidong Zhou, and Mao Yang, Microsoft Research; Francis C.M. Lau, The University of Hong Kong; Yuqi Wang, Yifan Xiong, and Bin Wang, Microsoft

Sundial: Fault-tolerant Clock-synchronization for Datacenters

Yuliang Li and Gautam Kumar, Google Inc.; Hema Hariharan, Hassan Wassel, Peter Hochschild, and Dave Platt, Google, Inc.; Simon Sabato, Lilac Cloud; Minlan Yu, Harvard University; Nandita Dukkipati, Prashant Chandra, and Amin Vahdat, Google, Inc.

The CacheLib Caching Engine: Design and Experiences at Scale

Benjamin Berg, Daniel S. Berger, Sara McAllister, and Isaac Grosof, Carnegie Mellon University; Sathya Gunasekar, Jimmy Lu, Michael Uhlar, and Jim Carrig, Facebook; Nathan Beckmann, Mor Harchol-Balter, and Gregory R. Ganger, Carnegie Mellon University

Providing SLOs for Resource-Harvesting VMs in Cloud Platforms

Lurdh Pradeep Reddy Ambati, University of Massachusetts, Amherst; Inigo Goiri and Felipe Vieira Frujeri, Microsoft Research; Alper Gun and Ke Wang, Google; Brian Dolan, Brian Corell, Sekhar Pasupuleti, and Thomas Moscibroda, Microsoft Azure; Sameh Elnikety, Microsoft Research; Marcus Fontoura, Microsoft Azure; Ricardo Bianchini, Microsoft Research

hXDP: Efficient Software Packet Processing on FPGA NICs

Marco Spaziani Brunella and Giacomo Belocchi, Axbryd/Tor Vergata University of Rome; Marco Bonola, Axbryd/CNIT; Salvatore Pontarelli, Axbryd; Giuseppe Siracusano, NEC Laboratories Europe; Giuseppe Bianchi, Tor Vergata University of Rome; Aniello Cammarano, Alessandro Palumbo, and Luca Petrucci, Tor Vergata University of Rome/CNIT; Roberto Bifulco, NEC Laboratories Europe

Protean: VM Allocation Service at Scale

Ori Hadary, Luke Marshall, and Ishai Menache, Microsoft Research; Abhisek Pan, Esaias E Greeff, David Dion, Star Dorminey, and Shailesh Joshi, Microsoft Azure; Yang Chen, Microsoft Research; Mark Russinovich and Thomas Moscibroda, Microsoft Azure