EuroSys 2023
May 8th-12th 2023

Conference Program

All times are in Central Europe Summer Time (CEST)

Note that the welcome reception will be held in a different venue (Chiostro - San Pietro in Vincoli) than the main venue and satellite venue of the workshops.

Please head to the Auditorium Antonianum for EuroSys 2023 registration; collect your badge and conference kit exclusively at this location. All participants are expected to visit the Auditorium Antonianum for a smooth registration process, attendee registered for the full conference can join the welcome reception before collecting the badge. Lunch will be exclusively served at the Auditorium, while coffee breaks will be available at both locations during the workshop day. The main conference is entirely held at the Auditorium Antonianum.

Link to ACM Proceedings

Link to EuroSys 2023 Awards

Link to Accepted Papers page

Mon, 8 May Tue, 9 May Wed, 10 May Thu, 11 May Fri, 12 May
8:30 Registration
Registration Registration Registration
9:00 Workshops Opening Remarks Machine Learning 1 Security Key-Value Stores
9:20 Debugging 1
11:00 Workshops Edge Memory Misc 2 Machine Learning 2
12:10 Debugging 2 Misc 1 Networking
12:30 Closing Session
14:30 Workshops
14:50 Graph Serverless Transactions
16:30 Workshops Sponsored Talk Cloud Computing Persistence
16:50 Poster Session
18:00 General Assembly

Tuesday 09/05/2023
Begin-End Subject
8:30-9:00 Registration
9:00-9:20 Opening Remarks
9:20-10:30 Debugging 1
(Session Chair: Natacha Crooks)
  • Effective Performance Issue Diagnosis with Value-Assisted Cost Profiling
    Lingmei Weng (Columbia University), Yigong Hu (Johns Hopkins University), Peng Huang (University of Michigan), Jason Nieh (Columbia University), Junfeng Yang (Columbia University)
  • Foxhound: Server-Grade Observability for Network-Augmented Applications
    Lucas Castanheira (Carnegie Mellon University), Alberto Schaeffer-Filho (Federal University of Rio Grande do Sul (UFRGS)), Theophilus A. Benson (Brown University)
  • OFence: Pairing Barriers to Find Concurrency Bugs in the Linux Kernel (BEST PAPER AWARD)
    Baptiste Lepers (Université de Neuchâtel), Josselin Giet (ENS), Willy Zwaenepoel (The University of Sydney), Julia Lawall (Inria)
11:00-12:10 Edge
(Session Chair: Edouard Bugnion)
  • Pocket: ML Serving from the Edge
    Misun Park (Georgia Institute of Technology), Ketan Bhardwaj (Georgia Institute of Technology), Ada Gavrilovska (Georgia Institute of Technology)
  • Efficient and Safe I/O Operations for Intermittent Systems
    Eren Yildiz (Ege University), Saad Ahmed (Georgia Institute of Technology), Bashima Islam (Worcester Polytechnic Institute), Josiah Hester (Georgia Institute of Technology), Kasim Sinan Yildirim (University of Trento)
  • ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices
    Changlong Li (East China Normal University), Yu Liang (City University of Hong Kong), Rachata Ausavarungnirun (King Mongkut's University of Technology North Bangkok), Zongwei Zhu (University of Science and Technology of China), Liang Shi (East China Normal University), Chuan Jason Xue (City University of Hong Kong)
12:10-13:20 Debugging 2
(Session Chair: Baptiste Lepers)
  • Diagnosing Kernel Concurrency Failures with AITIA
    Dae R. Jeong (KAIST), Minkyu Jung (KAIST), Yoochan Lee (Seoul National University), Byoungyoung Lee (Seoul National University), Insik Shin (KAIST), Youngjin Kwon (KAIST)
  • WAFFLE: Exposing Memory Ordering Bugs Efficiently with Active Delay Injection
    Bogdan Alexandru Stoica (University of Chicago), Shan Lu (University of Chicago), Madanlal Musuvathi (Microsoft Research), Suman Nath (Microsoft Research)
  • Model Checking Guided Testing for Distributed Systems
    Dong Wang (Institute of Software Chinese Academy of Sciences), Wensheng Dou (Institute of Software Chinese Academy of Sciences), Yu Gao (Institute of Software Chinese Academy of Sciences), Chenao Wu (Institute of Software Chinese Academy of Sciences), Jun Wei (Institute of Software Chinese Academy of Sciences), Tao Huang (Institute of Software Chinese Academy of Sciences)
14:50-16:00 Graph
(Session Chair: Peter Pietzuch)
  • MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
    Roger Waleffe (University of Wisconsin-Madison), Jason Mohoney (University of Wisconsin-Madison), Theodoros Rekatsinas (ETH Zurich), Shivaram Venkataraman (University of Wisconsin-Madison)
  • Accelerating Graph Mining Systems with Subgraph Morphing
    Kasra Jamshidi (Simon Fraser University), Harry Xu (UCLA), Keval Vora (Simon Fraser University)
  • TEA: A General-Purpose Temporal Graph Random Walk Engine
    Chengying Huan (Tsinghua University and Baihai Technology Inc.), Shuaiwen Leon Song (University of Sydney), Santosh Pandey (Stevens Institute of Technology), Hang Liu (Stevens Institute of Technology), Yongchao Liu (Ant Group), Baptiste Lepers (Université de Neuchâtel), Changhua He (Ant Group), Kang Chen (Tsinghua University), Jinlei Jiang (Tsinghua University), Yongwei Wu (Tsinghua University)
16:30-16:50 Sponsored Talk
  • Challenges in Computing Industry
    Dr. Tingyao Wu (European Research Institute, Huawei Technologies)
16:50-18:20 Poster Session

Wednesday 10/05/2023
Begin-End Subject
8:30-9:00 Registration
9:00-10:30 Machine Learning 1
(Session Chair: Y. Charlie Hu)
  • ALT: Breaking the Wall between Data Layout and Loop Optimizations for Deep Learning Compilation
    Zhiying Xu (Nanjing University), Jiafan Xu (Nanjing University), Hongding Peng (Nanjing University), Wei Wang (Nanjing University), Xiaoliang Wang (Nanjing University), Haoran Wan (Nanjing University), Haipeng Dai (Nanjing University), Yixu Xu (Huawei Technologies), Hao Cheng (Huawei Technologies), Kun Wang (University of California, Los Angeles), Guihai Chen (Nanjing University)
  • REFL: Resource-Efficient Federated Learning
    Ahmed M. Abdelmoniem (Queen Mary University of London), Atal Narayan Sahu (KAUST), Marco Canini (KAUST), Suhaib A. Fahmy (KAUST)
  • Tabi: An Efficient Multi-Level Inference System for Large Language Models
    Yiding Wang (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology), Haisheng Tan (University of Science and Technology of China), Kun Guo (Fuzhou University)
  • Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access
    Jinwoo Jeong (Ajou University), Seungsu Baek (Ajou University), Jeongseob Ahn (Ajou University)
11:00-12:10 Memory
(Session Chair: Sam H Noh)
  • DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation
    Wonsup Yoon (KAIST), Jisu Ok (KAIST), Jinyoung Oh (KAIST), Sue Moon (KAIST), Youngjin Kwon (KAIST)
  • vTMM: Tiered Memory Management for Virtual Machines
    Sai Sha (Peking University), Chuandong Li (Peking University), Yingwei Luo (Peking University), Xiaolin Wang (Peking University), Zhenlin Wang (Michigan Technological University)
  • Making Dynamic Page Coalescing Effective on Virtualized Clouds
    Weiwei Jia (The University of Rhode Island), Jiyuan Zhang (New Jersey Institute of Technology), Jianchen Shan (Hofstra University), Xiaoning Ding (New Jersey Institute of Technology)
12:10-13:20 Misc 1
(Session Chair: Pedro Fonseca)
  • Omni-Paxos: Breaking the Barriers of Partial Connectivity
    Harald Ng (KTH Royal Institute of Technology), Seif Haridi (KTH Royal Institute of Technology, RISE Research Institutes of Sweden), Paris Carbone (KTH Royal Institute of Technology, RISE Research Institutes of Sweden)
  • CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections
    Yiduo Wang (University of Science and Technology of China; Baidu (China) Co., Ltd), Yufei Wu (University of Science and Technology of China), Cheng Li (University of Science and Technology of China, Anhui Province Key Laboratory of High Performance Computing), Pengfei Zheng (Baidu (China) Co., Ltd), Biao Cao (Baidu (China) Co., Ltd), Yan Sun (Baidu (China) Co., Ltd), Fei Zhou (Baidu (China) Co., Ltd), Yinlong Xu (University of Science and Technology of China; Anhui Province Key Laboratory of High Performance Computing), Yao Wang (Baidu (China) Co., Ltd), Guangjun Xie (Baidu (China) Co., Ltd)
  • OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers
    Ruobing Chen (Nankai university), Haosen Shi (Nankai university, NTU), Yusen Li (Nankai university, NTU), Xiaoguang Liu (Nankai University), Gang Wang (Nankai University)
14:50-16:00 Serverless
(Session Chair: Ana Klimovic)
  • Palette Load Balancing: Locality Hints for Serverless Functions
    Mania Abdi (Northeastern University), Samuel Ginzburg (Princeton), Xiayue Charles Lin (Anyscale), Jose Faleiro (Unaffiliated), Gohar Irfan Chaudhry (Azure Systems Research), Inigo Goiri (Azure Systems Research), Ricardo Bianchini (Azure Systems Research), Daniel S. Berger (Azure Systems Research), Rodrigo Fonseca (Azure Systems Research)
  • With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions
    Muhammad Bilal (Instituto Superior Técnico (ULisboa), INESC-ID, UCLouvain), Marco Canini (KAUST), Rodrigo Fonseca (Azure Systems Research), Rodrigo Rodrigues (Instituto Superior Técnico (ULisboa), INESC-ID)
  • Groundhog: Efficient Request Isolation in FaaS
    Mohamed Alzayat (Max Planck Institute for Software Systems (MPI-SWS)), Jonathan Mace (Max Planck Institute for Software Systems (MPI-SWS)), Peter Druschel (Max Planck Institute for Software Systems (MPI-SWS)), Deepak Garg (Max Planck Institute for Software Systems (MPI-SWS))
16:30-18:00 Cloud Computing
(Session Chair: Xiaosong Ma)
  • Aggregate VM: Why Reduce or Evict VM’s Resources When You Can Borrow Them From Other Nodes?
    Ho-Ren Chuang (Virginia Tech), Karim Manaouil (The University of Edinburgh), Tong Xing (The University of Edinburgh), Antonio Barbalace (The University of Edinburgh), Pierre Olivier (The University of Manchester), Balvansh Heerekar (Virginia Tech), Binoy Ravindran (Virginia Tech)
  • Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms
    Chengzhi Lu (Shenzhen Institute of Advanced Technology, CAS, University of Macau), Huanle Xu (University of Macau, Macau SAR), Kejiang Ye (Shenzhen Institute of Advanced Technology, CAS), Guoyao Xu (Alibaba Group), Liping Zhang (Alibaba Group), Guodong Yang (Alibaba Group), ChengZhong Xu (University of Macau, Macau SAR)
  • Fail through the Cracks: Cross-System Interaction Failures in Modern Cloud Systems
    Lilia Tang (University of Illinois Urbana-Champaign), Chaitanya Bhandari (University of Illinois Urbana-Champaign), Yongle Zhang (Purdue University), Anna Karanika (University of Illinois Urbana-Champaign), Shuyang Ji (University of Illinois Urbana-Champaign), Indranil Gupta (University of Illinois Urbana-Champaign), Tianyin Xu (University of Illinois Urbana-Champaign)
  • LogGrep: Fast and Cheap Cloud Log Storage by Exploiting both Static and Runtime Patterns
    Junyu Wei (Tsinghua University), Guangyan Zhang (Tsinghua University), Junchao Chen (Tsinghua University), Yang Wang (The Ohio State University), Weimin Zheng (Tsinghua University), Tingtao Sun (Alibaba Group), Jiesheng Wu (Alibaba Group), Jiangwei Jiang (Alibaba Group)
18:00-19:00 General Assembly

Thursday 11/05/2023
Begin-End Subject
8:30-9:00 Registration
9:00-10:30 Security
(Session Chair: Rüdiger Kapitza)
  • R2C: AOCR-Resilient Diversity with Reactive and Reflective Camouflage
    Felix Berlakovich (μCSRL, Research Institute CODE, University of the Bundeswehr Munich), Stefan Brunthaler (μCSRL, Research Institute CODE, University of the Bundeswehr Munich)
  • Safe and Practical GPU Computation in TrustZone
    Heejin Park (Apple), Felix Lin (University of Virginia)
  • Dissecting BFT Consensus: In Trusted Components we Trust! (BEST PAPER AWARD)
    Suyash Gupta (UC Berkeley), Sajjad Rahnama (University of California, Davis), Shubham Pandey (University of California, Davis), Natacha Crooks (UC Berkeley), Mohammad Sadoghi (University of California, Davis)
  • Diablo: A Benchmark Suite for Blockchains
    Vincent Gramoli (University of Sydney), Rachid Guerraoui (EPFL), Andrei Lebedev (University of Sydney), Chris Natoli (University of Sydney), Gauthier Voron (EPFL)
11:00-12:10 Misc 2
(Session Chair: Reto Achermann)
  • FrozenHot Cache: Rethinking Cache Management for Modern Hardware
    Ziyue Qiu (University of Science and Technology of China, Microsoft Research, Carnegie Mellon University), Juncheng Yang (Carnegie Mellon University), Juncheng Zhang (University of Science and Technology of China), Cheng Li (University of Science and Technology of China, Anhui Province Key Laboratory of High Performance Computing), Xiaosong Ma (Qatar Computing Research Institute, HBKU), Qi Chen (Microsoft Research), Mao Yang (Microsoft Research), Yinlong Xu (University of Science and Technology of China, Anhui Province Key Laboratory of High Performance Computing)
  • Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs
    Costin Lupu (University POLITEHNICA of Bucharest), Andrei Albișoru (University POLITEHNICA of Bucharest), Radu Nichita (University POLITEHNICA of Bucharest), Doru-Florin Blânzeanu (University POLITEHNICA of Bucharest), Mihai Pogonaru (University POLITEHNICA of Bucharest), Răzvan Deaconescu (University POLITEHNICA of Bucharest), Costin Raiciu (University POLITEHNICA of Bucharest)
  • Unikernel Linux (UKL)
    Ali Raza (Boston University), Thomas Unger (Boston University), Matthew Boyd (MIT CSAIL); Eric B. Munson (Boston University), Parul Sohal (Boston University), Ulrich Drepper (Red Hat), Richard Jones (Red Hat), Daniel Bristot de Oliveira (Red Hat), Larry Woodman (Red Hat); Renato Mancuso (Boston University), Jonathan Appavoo (Boston University), Orran Krieger (Boston University)
12:10-13:20 Networking
(Session Chair: Marios Kogias)
  • FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks
    Hwijoon Lim (KAIST), Jaehong Kim (KAIST), Inho Cho (MIT CSAIL), Keon Jang (MPI-SWS, Rubrik), Wei Bai (Microsoft Research), Dongsu Han (KAIST)
  • Saba: Rethinking Datacenter Network Allocation from Application’s Perspective
    M.R. Siavash Katebzadeh (University of Edinburgh), Paolo Costa (Microsoft Research), Boris Grot (University of Edinburgh)
  • A2TP: Aggregator-aware In-network Aggregation for Multi-tenant Learning
    Zhaoyi Li (School of Computer Science and Engineering, Central South University), Jiawei Huang (School of Computer Science and Engineering, Central South University), Yijun Li (School of Computer Science and Engineering, Central South University), Aikun Xu (School of Computer Science and Engineering, Central South University), Shengwen Zhou (School of Computer Science and Engineering, Central South University), Jingling Liu (School of Computer Science and Engineering, Central South University), Jianxin Wang (School of Computer Science and Engineering, Central South University)
14:50-16:00 Transactions
(Session Chair: Marc Shapiro)
  • Viper: A Fast Snapshot Isolation Checker
    Jian Zhang (Northeastern University), Ye Ji (Cockroach Labs), Shuai Mu (Stony Brook University), Cheng Tan (Northeastern University)
  • Integrating Non-Volatile Main Memory in a Deterministic Database
    Yu Chen Wang (University of Toronto), Angela Demke Brown (University of Toronto), Ashvin Goel (University of Toronto)
  • Morty: Scaling Concurrency Control with Re-Execution
    Matthew Burke (Cornell University), Florian Suri-Payer (Cornell University), Jeffrey Helt (Princeton University), Lorenzo Alvisi (Cornell University), Natacha Crooks (UC Berkeley)
16:30-18:00 Persistence
(Session Chair: Valerio Schiavoni)
  • RIO: Order-Preserving and CPU-Efficient Remote Storage Access
    Xiaojian Liao (Tsinghua University), Zhe Yang (Tsinghua University), Jiwu Shu (Tsinghua University)
  • Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems (BEST PAPER AWARD)
    Hayley LeBlanc (University of Texas at Austin), Shankara Pailoor (University of Texas at Austin), Om Saran K. R. E. (University of Texas at Austin), Isil Dillig (University of Texas at Austin), James Bornholt (University of Texas at Austin), Vijay Chidambaram (University of Texas at Austin, VMware Research)
  • Mumak: efficient and black-box bug detection for Persistent Memory
    João Gonçalves (Instituto Superior Técnico (ULisboa), INESC-ID), Miguel Matos (Instituto Superior Técnico (ULisboa), INESC-ID), Rodrigo Rodrigues (Instituto Superior Técnico (ULisboa), INESC-ID)
  • NearPM: A Near-Data Processing System for Storage-Class Applications
    Yasas Seneviratne (University of Virginia), Korakit Seemakhupt (University of Virginia), Sihang Liu (University of Waterloo), Samira Khan (University of Virginia)

Friday 12/05/2023
Begin-End Subject
9:00-10:30 Key-Value Stores
(Session Chair: Angela Demke Brown)
  • FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines
    Gyewon Lee (FriendliAI), Jaewoo Maeng (Seoul National University), Jinsol Park (Seoul National University), Jangho Seo (NAVER Corp.), Haeyoon Cho (Qualcomm), Youngseok Yang (Mirny Inc.), Taegeon Um (Samsung Research), Jongsung Lee (Samsung Electronics, Seoul National University), Jae W. Lee (Seoul National University), Byung-Gon Chun (FriendliAI, Seoul National University)
  • All-Flash Array Key-Value Cache for Large Objects
    Jinhyung Koo (DGIST), Jinwook Bae (DGIST), Minjeong Yuk (DGIST), Seonggyun Oh (DGIST), Jungwoo Kim (DGIST), Jung-Soo Park (WineSOFT), Eunji Lee (Soongsil University), Bryan S. Kim (Syracuse University), Sungjin Lee (DGIST)
  • DyTIS: A Dynamic Dataset Targeted Index Structure Simultaneously Efficient for Search, Insert, and Scan
    Jin Yang (UNIST), Heejin Yoon (UNIST), Gyeongchan Yun (UNIST), Sam H. Noh (Virginia Tech), Young-ri Choi (UNIST)
  • DRAMHiT: A Hash Table Architected for the Speed of DRAM
    Vikram Narayanan (University of Utah), David Detweiler (University of California, Irvine), Tianjiao Huang (University of California, Irvine), Anton Burtsev (University of Utah)
11:00-12:30 Machine Learning 2
(Session Chair: Thaleia Doudali)
  • Lyra: Elastic Scheduling for Deep Learning Clusters
    Jiamin Li (City University of Hong Kong), Hong Xu (The Chinese University of Hong Kong), Yibo Zhu (Google), Zherui Liu (ByteDance Inc.), Chuanxiong Guo (Unaffiliated), Cong Wang (City University of Hong Kong)
  • Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
    Yiding Wang (Hong Kong University of Science and Technology), Decang Sun (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology), Fan Lai (University of Michigan), Mosharaf Chowdhury (University of Michigan)
  • Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies
    Zhuang Wang (Rice University), Haibin Lin (ByteDance Inc.), Yibo Zhu (ByteDance Inc.), T. S. Eugene Ng (Rice University)
  • SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
    Hanyu Zhao (Peking University), Zhenhua Han (Microsoft Research), Zhi Yang (Peking University), Quanlu Zhang (Microsoft Research), Mingxia Li (USTC), Fan Yang (Microsoft Research), Qianxi Zhang (Microsoft Research), Binyang Li (Microsoft), Yuqing Yang (Microsoft Research), Lili Qiu (Microsoft Research), Lintao Zhang (BaseBit Technologies), Lidong Zhou (Microsoft Research)
12:30-12:50 Closing Session