The following posters will be presented at the USENIX ATC '23 Poster Session and Reception on Tuesday, July 11, from 6:00 pm–7:30 pm in the Back Bay Ballroom.
zpoline: a system call hook mechanism based on binary rewriting
Kenichi Yasukata, Hajime Tazaki, and Pierre-Louis Aublin, IIJ Research Laboratory; Kenta Ishiguro, Hosei University
SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization
Mingshu Zhai, Jiaao He, Zixuan Ma, Zan Zong, Runqing Zhang, and Jidong Zhai, Tsinghua University
Confidential Computing within an AI Accelerator
Kapil Vaswani, Stavros Volos, Cédric Fournet, Antonio Nino Diaz, and Ken Gordon, Microsoft; Balaji Vembu, Meta; Sam Webster and David Chisnall, Microsoft; Saurabh Kulkarni, Lucata Systems; Graham Cunningham, XTX Markets; Richard Osborne, Graphcore; Daniel Wilkinson, Imagination Technologies
Accelerating Distributed MoE Training and Inference with Lina
Jiamin Li, City University of Hong Kong; Yimin Jiang, ByteDance Inc.; Yibo Zhu, unaffiliated; Cong Wang, City University of Hong Kong; Hong Xu, The Chinese University of Hong Kong
VectorVisor: A Binary Translation Scheme for Throughput-Oriented GPU Acceleration
Samuel Ginzburg, Princeton University; Mohammad Shahrad, University of British Columbia; Michael J. Freedman, Princeton University
Prefix Siphoning: Exploiting LSM-Tree Range Filters For Information Disclosure
Adi Kaufman, Tel Aviv University; Moshik Hershcovitch, Tel Aviv University & IBM Research; Adam Morrison, Tel Aviv University
Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent
Qizhen Weng and Lingyun Yang, Hong Kong University of Science and Technology; Yinghao Yu, Alibaba Group and Hong Kong University of Science and Technology; Wei Wang, Hong Kong University of Science and Technology; Xiaochuan Tang, Guodong Yang, and Liping Zhang, Alibaba Group
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training
Jie Sun, Collaborative Innovation Center of Artificial Intelligence, Zhejiang University, China; Li Su, Alibaba Group; Zuocheng Shi, Collaborative Innovation Center of Artificial Intelligence, Zhejiang University, China; Wenting Shen, Alibaba Group; Zeke Wang, Collaborative Innovation Center of Artificial Intelligence, Zhejiang University, China; Lei Wang, Alibaba Group; Jie Zhang, Collaborative Innovation Center of Artificial Intelligence, Zhejiang University, China; Yong Li, Wenyuan Yu, and Jingren Zhou, Alibaba Group; Fei Wu, Collaborative Innovation Center of Artificial Intelligence, Zhejiang University, China and Shanghai Institute for Advanced Study of Zhejiang University, China
Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training
Mark Zhao, Stanford University and Meta; Satadru Pan, Niket Agarwal, Zhaoduo Wen, David Xu, Anand Natarajan, Pavan Kumar, Shiva Shankar P, Ritesh Tijoriwala, Karan Asher, Hao Wu, Aarti Basant, Daniel Ford, Delia David, Nezih Yigitbasi, Pratap Singh, and Carole-Jean Wu, Meta; Christos Kozyrakis, Stanford University
GLogS: Interactive Graph Pattern Matching Query At Large Scale
Longbin Lai, Alibaba Group, China; Yufan Yang, The Chinese University of Hong Kong, Shenzhen; Zhibin Wang, Nanjing University; Yuxuan Liu and Haotian Ma, The Chinese University of Hong Kong, Shenzhen; Sijie Shen, Bingqing Lyu, Xiaoli Zhou, Wenyuan Yu, and Zhengping Qian, Alibaba Group, China; Chen Tian and Sheng Zhong, Nanjing University; Yeh-Ching Chung, The Chinese University of Hong Kong, Shenzhen; Jingren Zhou, Alibaba Group, China
EPF: Evil Packet Filter
Di Jin, Vaggelis Atlidakis, and Vasileios P. Kemerlis, Brown University
P2CACHE: Exploring Tiered Memory for In-Kernel File Systems Caching
Zhen Lin, Binghamton University; Lingfeng Xiang and Jia Rao, The University of Texas at Arlington; Hui Lu, Binghamton University
Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks
Won Wook Song, Seoul National University; Taegeon Um, Samsung Research; Sameh Elnikety, Microsoft Research; Myeongjae Jeon, UNIST; Byung-Gon Chun, Seoul National University and FriendliAI
SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving Machine Learning
Junming Ma, Yancheng Zheng, Jun Feng, Derun Zhao, Haoqi Wu, Wenjing Fang, Jin Tan, Chaofan Yu, Benyu Zhang, and Lei Wang, Ant Group
Towards Iterative Relational Algebra on the GPU
Ahmedur Rahman Shovon and Thomas Gilray, University of Alabama at Birmingham; Kristopher Micinski, Syracuse University; Sidharth Kumar, University of Alabama at Birmingham
Change Management in Physical Network Lifecycle Automation
Mohammad Al-Fares, Virginia Beauregard, Kevin Grant, Angus Griffith, Jahangir Hasan, Chen Huang, Quan Leng, Jiayao Li, and Alexander Lin, Google; Zhuotao Liu, Tsinghua University; Ahmed Mansy, Google; Bill Martinusen, Formerly at Google; Nikil Mehta, Jeffrey C. Mogul, Andrew Narver, and Anshul Nigham, Google; Melanie Obenberger, Formerly at Google; Sean Smith, Databricks; Kurt Steinkraus, Sheng Sun, Edward Thiele, and Amin Vahdat, Google
Pinolo: Detecting Logical Bugs in Database Management Systems with Approximate Query Synthesis
Zongyin Hao and Quanfeng Huang, School of Informatics, Xiamen University; Chengpeng Wang, The Hong Kong University of Science and Technology; Jianfeng Wang, University of Southern California; Yushan Zhang, Tencent Inc.; Rongxin Wu, School of Informatics, Xiamen University; Charles Zhang, The Hong Kong University of Science and Technology
LLFree: Scalable and Optionally-Persistent Page-Frame Allocation
Lars Wrenger, Florian Rommel, and Alexander Halbuer, Leibniz Universität Hannover; Christian Dietrich, Hamburg University of Technology; Daniel Lohmann, Leibniz Universität Hannover
FarReach: Write-back Caching in Programmable Switches
Siyuan Sheng and Huancheng Puyang, The Chinese University of Hong Kong; Qun Huang, Peking University; Lu Tang, Xiamen University; Patrick P. C. Lee, The Chinese University of Hong Kong
Overcoming the Memory Wall with CXL-Enabled SSDs
Shao-Peng Yang, Syracuse University; Minjae Kim, DGIST; Sanghyun Nam, Soongsil University; Juhyung Park, DGIST; Jin-yong Choi and Eyee Hyun Nam, FADU Inc.; Eunji Lee, Soongsil University; Sungjin Lee, DGIST; Bryan S. Kim, Syracuse University
Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing
Giovanni Bartolomeo, Mehdi Yosofie, Simon Bäurle, Oliver Haluszczynski, Nitinder Mohan, and Jörg Ott, Technical University of Munich, Germany
RubbleDB: CPU-Efficient Replication with NVMe-oF
Haoyu Li, Sheng Jiang, and Chen Chen, Columbia University; Ashwini Raina, Princeton University; Xingyu Zhu, Changxu Luo, and Asaf Cidon, Columbia University
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy
Sangjin Choi and Inhoe Koo, KAIST; Jeongseob Ahn, Ajou University; Myeongjae Jeon, UNIST; Youngjin Kwon, KAIST
Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators
Chenhao Jiang and Anand Jayarajan, University of Toronto and Vector Institute; Hao Lu, University of Toronto; Gennady Pekhimenko, University of Toronto and Vector Institute
UnFaaSener: Latency and Cost Aware Offloading of Functions from Serverless Platforms
Ghazal Sadeghian and Mohamed Elsakhawy, University of British Columbia; Mohanna Shahrad, McGill University; Joe Hattori, University of Tokyo; Mohammad Shahrad, University of British Columbia
Luci: Loader-based Dynamic Software Updates for Off-the-shelf Shared Objects
Bernhard Heinloth, Peter Wägemann, and Wolfgang Schröder-Preikschat, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany