OSDI '23 Poster Session

The following posters will be presented at the OSDI '23 Poster Session and Reception on Monday, July 10, from 5:30 pm–7:00 pm in the Back Bay Ballroom.

The OSDI '23 Poster Session and Reception is sponsored by Amazon.

Unpublished Work

Posters of unpublished research.

A Cache-Stall Driven CPU Frequency Governor for Linux
Erik Griese, Leon Matthes, Maximilian Stiede, Sven Köhler, and Lukas Wenzel, Hasso-Plattner-Institut, Potsdam (HPI)

Catena: A Scheduling System for Microsecond-Level Microservice DAGs
Ryan Kosta, Amy Ousterhout, and Yiying Zhang, University of California, San Diego

Consolidating Network Resources with Rack-Level Network Pooling
Will Lin and Ryan Kosta, University of California, San Diego; Arvind Krishnamurthy, University of Washington; Yiying Zhang, University of California, San Diego

Efficient Federated Learning on Edge Devices over Heterogeneous Network and Data
Weici Pan, Chengyi Nie, and Zhenhua Liu, Stony Brook University

Efficient NVRAM-Based General Purpose Operating Systems
Oliver Giersch, BTU Cottbus-Senftenberg; Henriette Hofmeier, Ruhr Unversität Bochum; Dustin Nguyen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Jonas Rabenstein, Friedrich Alexander University Erlangen-Nuernberg; Christian Eichler, Ruhr-Universität Bochum (RUB)

HELIX: Co-designing the Hardware, Software and Network Protocol for Reliable High-Bandwidth Communication in Constrained Systems
Leon Schuermann, Princeton University; Frank Duerr, University of Stuttgart; Amit Levy, Princeton University

LADDER: Efficient Tensor Compilation on Customized Data Format
Lei Wang, Lingxiao Ma, Shijie Cao, Ningxin Zheng, Quanlu Zhang, Jilong Xue, Ziming Miao, Ting Cao, and Yuqing Yang, Microsoft Research

Log-Structured Virtual Disk on a Gateway
KyoKeun Park, University of Toronto; Timothy Borunov and Sumatra Dhimoyee, Boston University; Angela Demke Brown, University of Toronto; Peter Desnoyers, Northeastern University; Orran Krieger, Bostern University

Luxray: Achieving High GPU Efficiency for Large Language Model Inference Serving
Yinmin Zhong and Xin Jin, Peking University

Memento: Energy-Aware Memory Placement in Operating Systems
Sven Köhler, Hasso-Plattner-Institut, Potsdam (HPI); Benedict Herzog, Henriette Hofmeier, and Manuel Vögele, Ruhr-Universität Bochum (RUB); Lukas Wenzel, Hasso-Plattner-Institut, Potsdam (HPI)

Miscos: Achieving Lower End-to-End Application Latency with Multiple-Issue Strong Consistency
Anja Kalaba, Jeff Helt, Amit Levy, and Wyatt Lloyd, Princeton University

Multiagent Middleware for Application Semantics
Amit K. Chopra, Lancaster University; Samuel H. Christie V

No More Textbook Analysis Bugs: Extending Compiler Warnings for Better Linux
Keita Suzuki and Kenji Kono, Keio University

Quick-and-Dirty Memory Access Tracing with Instruction-Based Sampling
Lukas Wenzel and Sven Köhler, Hasso-Plattner-Institut, Potsdam (HPI); Henriette Hofmeier, Ruhr-Universität Bochum (RUB); Felix Eberhardt, Hasso-Plattner-Institut, Potsdam (HPI)

RADICAL Serverless
Nicolaas Kaashoek, Oleg Golev, Amit Levy, and Wyatt Lloyd, Princeton University

Serverless State Management Systems
Tianyu Li, MIT CSAIL; Badrish Chandramouli, Microsoft Research; Sam Madden, MIT CSAIL

Swift: Efficient and Accurate GNN Training with Knowledge-Guided Node Freezing
Meng Zhang and Qinghao Hu, Nanyang Technological University and Shanghai AI Laboratory; Peng Sun, Shanghai AI Laboratory and SenseTime Research; Yonggang Wen and Tianwei Zhang, Nanyang Technological University

Targeting Skewed Workloads with the Smelter Distributed Database
Jennifer Lam and Jeffrey Helt, Princeton University; Haonan Lu, University at Buffalo; Wyatt Lloyd, Princeton University

Targeting Tail Latency in Replicated Systems with Proactive Rejection
Laura Lawniczak and Tobias Distler, Friedrich-Alexander-Universität Erlangen-Nürnberg

The Case for Model Checking Emerging File Systems
Yifei Liu, Stony Brook University; Gerard Holzmann, Nimble Research; Geoff Kuenning, Harvey Mudd College; Scott A. Smolka and Erez Zadok, Stony Brook University

Toward Accurate Group Scheduling in Multi-core Environments
Kenta Ishiguro, Hosei University; Kenichi Yasukata, IIJ Research Laboratory; Toshio Hirotsu, Hosei University

Toward Efficient Fuzzing of Nested Virtualization
Reima Ishii, The University of Tokyo; Takaaki Fukai, National Institute of Advanced Industrial Science and Technology; Takahiro Shinagawa, The University of Tokyo

Training DNN Models over Heterogeneous Clusters with Optimal Performance
Chengyi Nie, Jessica Maghakian, and Zhenhua Liu, Stony Brook University

Unveiling the Cause of Performance Degradation Due to File Fragmentation in Modern SSDs
Yuhun Jun, ShinHyun Park, and Euiseong Seo, Sungkyunkwan University

σOS: Multi-Tenant Cloud Computing with Realms
Ariel Szekely, Massachusetts Institute of Technology; Adam Belay, MIT CSAIL; Robert Morris and Frans Kaashoek, MIT

Published Work

Posters of papers published at OSDI '23.

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Zhuohan Li and Lianmin Zheng, UC Berkeley; Yinmin Zhong, Peking University; Vincent Liu, University of Pennsylvania; Ying Sheng, Stanford University; Xin Jin, Peking University; Yanping Huang and Zhifeng Chen, Google; Hao Zhang, Joseph Gonzalez, and Ion Stoica, UC Berkeley

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
Chen Zhang, Tsinghua University; Lingxiao Ma and Jilong Xue, Microsoft Research; Yining Shi, Peking University & Microsoft Research; Ziming Miao and Fan Yang, Microsoft Research; Jidong Zhai, Tsinghua University; Zhi Yang, Peking University; Mao Yang, Microsoft Research

EINNET: Optimizing Tensor Programs with Derivation-Based Transformations
Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, and Shuhong Huang, Tsinghua University; Xupeng Miao, Carnegie Mellon University; Shizhi Tang and Kezhao Huang, Tsinghua University; Zhihao Jia, Carnegie Mellon University

Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
Qinghao Hu, Nanyang Technological University, S-Lab, NTU, and Shanghai AI Laboratory; Zhisheng Ye, Shanghai AI Laboratory and Peking University; Meng Zhang, Nanyang Technological University, S-Lab, NTU, and Shanghai AI Laboratory; Qiaoling Chen, Shanghai AI Laboratory and National University of Singapore; Peng Sun, Shanghai AI Laboratory and SenseTime Research; Yonggang Wen and Tianwei Zhang, Nanyang Technological University

Kerveros: Efficient and Scalable Cloud Admission Control
Sultan Mahmud Sajal, The Pennsylvania State University; Luke Marshall and Beibin Li, Microsoft Research; Shandan Zhou and Abhisek Pan, Microsoft; Konstantina Mellou and Deepak Narayanan, Microsoft Research; Timothy Zhu, The Pennsylvania State University; David Dion, Microsoft Azure; Thomas Moscibroda, Microsoft; Ishai Menache, Microsoft Research

Optimizing Dynamic Neural Networks with Brainstorm
Weihao Cui, Shanghai Jiao Tong University; Zhenhua Han, Microsoft Research Asia; Lingji Ouyang, University of Science and Technology of China; Yichuan Wang, Shanghai Jiao Tong University; Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, and Lidong Zhou, Microsoft Research Asia; Quan Chen, Shanghai Jiao Tong University; Haisheng Tan, University of Science and Technology of China; Minyi Guo, Shanghai Jiao Tong University

Ship your Critical Section, Not Your Data: Enabling Transparent Delegation with TCLocks
Vishal Gupta, EPFL; Kumar Kartikeya Dwivedi, SRMIST; Yugesh Kothari, Yueyang Pan, Diyu Zhou, and Sanidhya Kashyap, EPFL

Welder: Scheduling Deep Learning Memory Access via Tile-graph
Yining Shi, Peking University & Microsoft Research; Zhi Yang, Peking University; Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, and Lidong Zhou, Microsoft Research