Conference Program

All times are in Eastern Europe Summer Time (EEST)

Note that the welcome reception and banquet will be held at different venues than the Royal Olympic Hotel, where the EuroSys 2024 Workshops and Main Conference will be hosted.

Mon, 22 April Tue, 23 April Wed, 24 April Thu, 25 April
8:30 Registration Registration Registration Registration
8:45
9:00 Workshops Session E
Caching, Databases, Data Processing		 Session I
Hardware-SW co-design
9:15 Opening
9:30
9:45 Session A
Graphs
10:00
10:15
10:30
10:45
11:00 Workshops Session F
Privacy in ML + Systems for ML		 Session J
Scheduling, Shifting and Scaling Workloads
11:15 Session B
Networks
11:30
11:45
12:00
12:15
12:30
12:45
13:00
13:15
13:30
13:45 Workshops Session G
Files and Storage		 Session K
Systems for ML
14:00 Sponsored talk
14:15 Session C
Distributed ML
14:30
14:45
15:00
15:15
15:30
15:45 Session H
Dealing with Bugs, Failures and Inconsistency
16:00 Workshops Session D
BFT, Serverless, Cloud and Edge		 Session L
Distributed Systems + Runtime and Compilers
16:15
16:30
16:45
17:00
17:15 General
Assembly
17:30 Closing
17:45 Posters
and drinks
18:00
18:15
18:30
18:45
19:00
19:15
19:30
19:45
20:00
20:15
20:30
20:45
21:00
21:15
21:30
21:45
22:00
22:15
22:30
22:45
23:00

Workshops Program

Monday 22/04/2024
Workshop Room (in Royal Olympic Hotel)
CHEOPS Abbey Hall
EdgeSys Conference Room 4A
ESwML Conference Room 4B (afternoon)
EuroDW Conference Room 0
EuroMLSys Conference Room 1
EuroSec Conference Room 2A
MECC Conference Room 2B
PaPoC Conference Room 3B
SESAME Conference Room 3A
WiDE Conference Room 4B (morning)


Main Conference - day 1

Tuesday 23/04/2024
8:30-9:15 Registration
9:15-9:45 Opening
9:45-10:45 Session A: Graphs
(Session Chair: Laurent Bindschaedler)
  • WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations
    Kezhao Huang (Tsinghua University), Jidong Zhai (Tsinghua University), Liyan Zheng (Tsinghua University), Haojie Wang (Tsinghua University), Yuyang Jin (Tsinghua University), Qihao Zhang (Tsinghua University), Runqing Zhang (Tsinghua University), Zhen Zheng (Microsoft), Youngmin Yi (University of Seoul), Xipeng Shen (North Carolina State University)
  • Core Graph: Exploiting Edge Centrality to Speedup the Evaluation of Iterative Graph Queries
    Xiaolin Jiang (UC Riverside), Mahbod Afarin (UC Riverside), Zhijia Zhao (UC Riverside), Nael Abu-Ghazaleh (UC Riverside), Rajiv Gupta (UC Riverside)
  • LSGraph: A Locality-centric High-performance Streaming Graph Engine
    Hao Qi (Huazhong University of Science and Technology), Yiyang Wu (Huazhong University of Science and Technology), Ligang He (University of Warwick), Yu Zhang (Huazhong University of Science and Technology), Kang Luo (Huazhong University of Science and Technology), Minzhi Cai (Huazhong University of Science and Technology), Hai Jin (Huazhong University of Science and Technology), Zhan Zhang (Zhejiang Lab, China), Jin Zhao (Huazhong University of Science and Technology)
  • Contigra: Graph Mining with Containment Constraints
    Joanna Che (Simon Fraser University), Kasra Jamshidi (Simon Fraser University), Keval Vora (Simon Fraser University)
10:45-11:15
11:15-12:45 Session B: Networks
(Session Chair: Marios Kogias)
  • Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in DCNs
    Sen Liu (Fudan University), Yongbo Gao (Fudan University), Zixuan Chen (Fudan University), Jiarui Ye (Fudan University), Haiyang Xu (Fudan University), Furong Liang (Fudan University), Wei Yan (Fudan University), Zerui Tian (Fudan University), Quanwei Sun (Fudan University), Zehua Guo (Beijing Institute of Technology, Beijing Institute of Technology Zhengzhou Academy of Intelligent Technology, Zhejiang Lab), Yang Xu (Fudan University, Peng Cheng Laboratory)
  • Hoda: a High-performance Open vSwitch Dataplane with Multiple Specialized Data Paths
    Heng Pan (Computer Network Information Center, Chinese Academy of Sciences), Peng He (ByteDance Inc.), Zhenyu Li (Institute of Computing Technology, Chinese Academy of Sciences), Pan Zhang (Intel Corporation), Junjie Wan (ByteDance Inc.), Yuhao Zhou (ByteDance Inc.), XiongChun Duan (ByteDance Inc.), Yu Zhang (ByteDance Inc.), Gaogang Xie (Computer Network Information Center, Chinese Academy of Sciences)
  • Astraea: Towards Fair and Efficient Learning-based Congestion Control
    Xudong Liao (Hong Kong University of Science and Technology), Han Tian (Hong Kong University of Science and Technology), Chaoliang Zeng (Hong Kong University of Science and Technology), Xinchen Wan (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology)
  • Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel
    Songyuan Bai (Nanjing University), Hao Zheng (Nanjing University), Chen Tian (Nanjing University), Xiaoliang Wang (Nanjing University), Chang Liu (Nanjing University), Xin Jin (Peking University), Fu Xiao (Nanjing University of Posts and Telecommunications), Qiao Xiang (Xiamen University), Wanchun Dou (Nanjing University), Guihai Chen (Nanjing University)
  • Serialization/Deserialization-free State Transfer in Serverless Workflows
    Fangming Lu (Shanghai Jiao Tong University), Xingda Wei (Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory), Zhuobin Huang (University of Electronic Science and Technology of China), Rong Chen (Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory), Mingyu Wu (Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory), Haibo Chen (Shanghai Jiao Tong University)
  • Occam: A Programming System for Reliable Network Management
    Jiarong Xing (Rice University), Kuo-Feng Hsu (Meta), Yiting Xia (Max Planck Institute for Informatics), Yan Cai (Meta), Yanping Li (Meta), Ying Zhang (Meta), Ang Chen (University of Michigan)
12:45-14:00
14:00-14:15 Sponsored Talk
14:15-15:30 Session C: Distributed ML
(Session Chair: Marco Canini)
  • Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation
    Guodong Liu (Institute of Computing Technology, CAS), Youshan Miao (Microsoft Research), Zhiqi Lin (University of Science and Technology of China), Xiaoxiang Shi (Shanghai Jiao Tong University), Saeed Maleki (Microsoft Research), Fan Yang (Microsoft Research), Yungang Bao (Institute of Computing Technology, CAS), Sa Wang (Institute of Computing Technology, CAS)
  • Totoro: A Scalable Federated Learning Engine for the Edge
    Cheng-Wei Ching (University of California Santa Cruz), Xin Chen (Georgia Institute of Technology), Taehwan Kim (Virginia Tech), Bo Ji (Virginia Tech), Qingyang Wang (Louisiana State University), Dilma Da Silva (Texas A&M University), Liting Hu (University of California Santa Cruz and Virginia Tech)
  • FLOAT: Federated Learning Optimizations with Automated Tuning
    Ahmad Faraz Khan (Virginia Tech), Azal Ahmad Khan (Indian Institute of Technology, Guwahati), Ahmed M. Abdelmoniem (Queen Mary University of London), Samuel Fountain (University of Minnesota), Ali R. Butt (Virginia Tech), Ali Anwar (University of Minnesota)
  • DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation
    Pau-Chen Cheng (IBM Research), Kevin Eykholt (IBM Research), Zhongshu Gu (IBM Research), Hani Jamjoom (IBM Research), K. R. Jayaram (IBM Research), Enriquillo Valdez (IBM Research), Ashish Verma (Amazon Inc.)
  • ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling
    Shaohuai Shi (Harbin Institute of Technology, Shenzhen), Xinglin Pan (The Hong Kong University of Science and Technology (Guangzhou)), Qiang Wang (Harbin Institute of Technology, Shenzhen), Chengjian Liu (Shenzhen Technology University), Xiaozhe Ren (Huawei Central Research Institute, Huawei Technologies), Zhongzhe Hu (Huawei Central Research Institute, Huawei Technologies), Yu Yang (Huawei Central Research Institute, Huawei Technologies), Bo Li (The Hong Kong University of Science and Technology), Xiaowen Chu (The Hong Kong University of Science and Technology (Guangzhou))
15:30-16:00
16:00-17:45 Session D: BFT, Serverless, Cloud and Edge
(Session Chair: Rudiger Kapitza)
  • Dashing and Star: Byzantine Fault Tolerance with Weak Certificates
    Sisi Duan (Tsinghua University), Haibin Zhang (Yangtze Delta Region Institute of Tsinghua University, Zhejiang), Xiao Sui (Shandong University), Baohan Huang (Beijing Institute of Technology), Changchun Mu (Digital Currency Institute, the People's Bank of China), Gang Di (Digital Currency Institute, the People's Bank of China and Tsinghua University), Xiaoyun Wang (Tsinghua University)
  • Bandle: Asynchronous State Machine Replication Made Efficient
    Bo Wang (Central South University and Shanghai Jiao Tong University), Shengyun Liu (Shanghai Jiao Tong University), He Dong (Shanghai Jiao Tong University), Xiangzhe Wang (Shanghai Jiao Tong University), Wenbo Xu (AntChain Platform Division, Ant Group), Jingjing Zhang (Fudan University), Ping Zhong (Central South University), Yiming Zhang (XMU)
  • Characterization and Reclamation of Frozen Garbage in Managed FaaS Workloads
    Ziming Zhao (Shanghai Jiao Tong University), Mingyu Wu (Shanghai Jiao Tong University), Haibo Chen (Shanghai Jiao Tong University), Binyu Zang (Shanghai Jiao Tong University)
  • Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts
    Sumer Kohli (Stanford University), Shreyas Kharbanda (Cornell University), Rodrigo Bruno (INESC-ID, IST, ULisboa), Joao Carreira (University of California, Berkeley), Pedro Fonseca (Purdue University)
  • Improving Resource and Energy Efficiency for Cloud 3D through Excessive Rendering Reduction
    Tianyi Liu (University of Texas at San Antonio), Jerry Lucas (University of Texas at San Antonio), Sen He (University of Arizona), Tongping Liu (University of Massachusetts Amherst), Xiaoyin Wang (University of Texas at San Antonio), Wei Wang (University of Texas at San Antonio)
  • Draconis: Network-Accelerated Scheduling for Microsecond-Scale Workloads
    Sreeharsha Udayashankar (University of Waterloo), Ashraf Abdel-Hadi (University of Waterloo), Ali Mashtizadeh (University of Waterloo), Samer Al-Kiswany (University of Waterloo)
  • Snatch: Online Streaming Analytics at the Network Edge
    Yunming Xiao (Northwestern University), Yibo Zhao (Boston University), Sen Lin (Northwestern University), Aleksandar Kuzmanovic (Northwestern University)
17:45-19:30 Poster Session

Main Conference - day 2

Wednesday 24/04/2024
8:30-9:00 Registration
9:00-10:30 Session E: Caching, Databases, Data Processing
(Session Chair: Mark Shapiro)
  • Blaze: Holistic Caching for Iterative Data Processing
    Won Wook SONG (FriendliAI), Jeongyoon Eo (Seoul National University), Taegeon Um (Samsung Research), Myeongjae Jeon (UNIST), Byung-Gon Chun (Seoul National University and FriendliAI)
  • TTLs Matter: Efficient Cache Sizing with TTL-Aware Miss Ratio Curves and Working Set Sizes
    Sari Sultan (University of Toronto), Kia Shakiba (University of Toronto), Albert Lee (University of Toronto), Paul Chen (Huawei), Michael Stumm (University of Toronto)
  • Trinity: A Fast Compressed Multi-attribute Data Store
    Ziming Mao (UC Berkeley), Kiran Srinivasan (NetApp), Anurag Khandelwal (Yale University)
  • FLOWS: Balanced MRC Profiling for Heterogeneous Object-Size Cache
    Xiaojun Guo (Huazhong University of Science and Technology,Tencent Inc.), Hua Wang (Huazhong University of Science and Technology), Ke Zhou (Huazhong University of Science and Technology), Hong Jiang (University of Texas at Arlington), Yaodong Han (Huazhong University of Science and Technology), Guangjie Xing (Huazhong University of Science and Technology)
  • CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory
    Zhenxin Li (Zhejiang University), Shuibing He (Zhejiang University), Zheng Dang (Zhejiang University), Peiyi Hong (Zhejiang University), Xuechen Zhang (Washington State University Vancouver), Rui Wang (Zhejiang University), Fei Wu (Zhejiang University)
  • Wormhole Filters: Caching Your Hash on Persistent Memory
    Hancheng Wang (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Haipeng Dai (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Rong Gu (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Youyou Lu (Tsinghua University), Jiaqi Zheng (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Jingsong Dai (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Shusen Chen (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China), Zhiyuan Chen (Huawei Technologies Co., Ltd.), Shuaituan Li (Huawei Technologies Co., Ltd.), Guihai Chen (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China)
10:30-11:00
11:00-12:30 Session F: Privacy in ML + Systems for ML
(Session Chair: Thaleia Dimitra Doudali)
  • Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
    Zhifeng Jiang (Hong Kong University of Science and Technology), Wei Wang (Hong Kong University of Science and Technology), Ruichuan Chen (Nokia Bell Labs)
  • Accelerating Privacy-Preserving Machine Learning With GeniBatch
    Xinyang Huang (Hong Kong University of Science and Technology), Junxue Zhang (Hong Kong University of Science and Technology), Xiaodian Cheng (Hong Kong University of Science and Technology), Hong Zhang (University of Waterloo), Yilun Jin (The Hong Kong University of Science and Technology), Shuihai Hu (The Hong Kong University of Science and Technology), Han Tian (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology)
  • GMorph: Accelerating Multi-DNN Inference via Model Fusion
    Qizheng Yang (University of Massachusetts Amherst), Tianyi Yang (University of Massachusetts Amherst), Mingcan Xiang (University of Massachusetts Amherst), Lijun Zhang (University of Massachusetts Amherst), Haoliang Wang (Adobe Research), Marco Serafini (University of Massachusetts Amherst), Hui Guan (University of Massachusetts Amherst)
  • HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis
    Shiwei Zhang (The University of Hong Kong), Lansong Diao (Alibaba Group), Chuan Wu (The University of Hong Kong), Zongyan Cao (Alibaba Group), Siyu Wang (Alibaba Group), Wei Lin (Alibaba Group)
  • DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
    Chenyu Jiang (The University of Hong Kong), Zhen Jia (Amazon Web Services), Shuai Zheng (Boson AI), Yida Wang (Amazon Web Services), Chuan Wu (The University of Hong Kong)
  • ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs
    Bing-Jyue Chen (UIUC), Suppakit Waiwitlikhit (Stanford), Ion Stoica (UC Berkeley), Daniel Kang (UIUC)
12:30-13:45
13:45-15:15 Session G: Files and Storage
(Session Chair: Pascal Felber)
  • Puddles: Application-Independent Recovery and Location-Independent Data for Persistent Memory
    Suyash Mahar (UC San Diego), Mingyao Shen (UC San Diego), TJ Smith (UC San Diego), Joseph Izraelevitz (University of Colorado, Boulder), Steven Swanson (UCSD)
  • SplitFT: Fault Tolerance for Disaggregated Datacenters via Remote Memory Logging
    Xuhao Luo (University of Illinois at Urbana-Champaign), Ramnatthan Alagappan (University of Illinois Urbana-Champaign and VMware Research), Aishwarya Ganesan (University of Illinois Urbana-Champaign and VMware Research)
  • CSAL: the Next-Gen Local Disks for the Cloud
    Yanbo Zhou (Alibaba Group), Erci Xu (Alibaba Group), Li Zhang (Alibaba Group), Kapil Karkra (Solidigm), Mariusz Barczak (Solidigm), Wayne Gao (Solidigm), Wojciech Malikowski (Solidigm), Mateusz Kozlowski (Solidigm), Łukasz Łasek (Solidigm), Ruiming Lu (Alibaba Group), Feng Yang (Alibaba Group), Lilong Huang (Alibaba Group), Xiaolu Zhang (Alibaba Group), Keqiang Niu (Alibaba Group), Jiaji Zhu (Alibaba Group), Jiesheng Wu (Alibaba Group)
  • Exploring the Asynchrony of Slow Memory Filesystem with EasyIO
    Bohong Zhu (Xiamen University), Youmin Chen (Tsinghua University), Jiwu Shu (Tsinghua University)
  • ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives
    Kiet Tuan Pham (Chung-Ang University), Seokjoo Cho (Chung-Ang University), Sangjin Lee (Chung-Ang University), Lan Anh Nguyen (Chung-Ang University), Hyeongi Yeo (Chung-Ang University), Ipoom Jeong (University of Illinois Urbana-Champaign), Sungjin Lee (DGIST), Nam Sung Kim (University of Illinois Urbana-Champaign), Yongseok Son (Chung-Ang University)
  • Volley: Accelerating Write-Read Orders in Disaggregated Storage
    Shaoxun Zeng (Tsinghua University), Xiaojian Liao (Tsinghua University), Hao Guo (Tsinghua University), Youyou Lu (Tsinghua University)
15:15-15:45
15:45-17:15 Session H: Dealing with Bugs, Failures and Inconsistency
(Session Chair: Miguel Matos)
  • Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
    Yinfang Chen (University of Illinois at Urbana-Champaign, Champaign, USA), Huaibing Xie (Peking University, Beijing, China), Minghua Ma (Microsoft, Beijing, China), Yu Kang (Microsoft, Shanghai, China), Xin Gao (Microsoft, Suzhou, China), Liu Shi (Microsoft, Suzhou, China), Yunjie Cao (Microsoft, Suzhou, China), Xuedong Gao (Microsoft, Suzhou, China), Hao Fan (Microsoft, Suzhou, China), Ming WEN (Huazhong University of Science and Technology, Wuhan, China), Jun Zeng (National University of Singapore, Singapore), Supriyo Ghosh (Microsoft, Bengaluru, India), Xuchao Zhang (Microsoft, Redmond, USA), Chaoyun Zhang (Microsoft, Beijing, China), Qingwei Lin (Microsoft, Beijing, China), Saravan Rajmohan (Microsoft, Redmond, USA), Dongmei Zhang (Microsoft, Beijing, China), Tianyin Xu (University of Illinois at Urbana-Champaign, Champaign, USA)
  • Finding Correctness Bugs in eBPF Verifier with Structured and Sanitized Program
    Hao Sun (Tsinghua University), Yiru Xu (Tsinghua University), Jianzhong Liu (Tsinghua University), Yuheng Shen (Tsinghua University), Nan Guan (City University of Hong Kong), Yu Jiang (Tsinghua University)
  • Noctua: Towards Practical and Automated Fine-grained Consistency Analysis
    Kai Ma (University of Science and Technology of China), Cheng Li (University of Science and Technology of China), Enzuo Zhu (University of California, Riverside), Ruichuan Chen (Nokia Bell Labs), Feng Yan (University of Houston), Kang Chen (Tsinghua University)
  • Effective Bug Detection with Unused Definitions
    Li Zhong (UCSD), Chengcheng Xiang (Meta), Haochen Huang (Whova), Bingyu Shen (Meta), Eric Mugnier (UC San Diego), Yuanyuan Zhou (UCSD)
  • SandTable: Scalable Distributed System Model Checking with Specification-Level State Exploration
    Ruize Tang (Nanjing University), Xudong Sun (University of Illinois at Urbana-Champaign), Yu Huang (Nanjing University), Yuyang Wei (Nanjing University), Lingzhi Ouyang (Nanjing University), Xiaoxing Ma (Nanjing University)
  • Validating Database System Isolation Level Implementations with Version Certificate Recovery
    Jack Clark (Imperial College London), Alastair F. Donaldson (Imperial College London), John Wickerson (Imperial College London), Manuel Rigger (National University of Singapore)
17:15-18:00 General Assembly

Main Conference - day 3

Thursday 25/04/2024
8:30-9:00 Registration
9:00-10:30 Session I: Hardware-SW co-design
(Session Chair: Haggai Eran)
  • Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance
    Yijia Zhang (Peng Cheng Laboratory), Qiang Wang (Harbin Institute of Technology (Shenzhen)), Zhe Lin (Sun Yat-sen University), Pengxiang Xu (Peng Cheng Laboratory), Bingqiang Wang (Peng Cheng Laboratory)
  • Minuet: Accelerating 3D Sparse Convolutions on GPUs
    Jiacheng Yang (University of Toronto / Vector Institute), Christina Giannoula (University of Toronto), Jun Wu (Amazon), Mostafa Elhoushi (Meta), James Gleeson (Samsung AI Centre Toronto), Gennady Pekhimenko (University of Toronto / Vector Institute)
  • MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory
    Jie Ren (William & Mary), Dong Xu (University of California, Merced), Junhee Ryu (SK hynix), Kwangsik Shin (SK hynix), Daewoo Kim (SK hynix), Dong Li (University of California, Merced)
  • Exploring Performance and Cost Optimization with ASIC-Based CXL Memory
    Yupeng Tang (Yale University), Ping Zhou (ByteDance), Wenhui Zhang (ByteDance), Henry Hu (ByteDance), Qirui Yang (ByteDance), Hao Xiang (ByteDance), Tongping Liu (ByteDance), Jiaxin Shan (ByteDance), Ruoyun Huang (ByteDance), Cheng Zhao (ByteDance), Cheng Chen (ByteDance), Hui Zhang (ByteDance), Fei Liu (ByteDance), Shuai Zhang (ByteDance), Xiaoning Ding (ByteDance), Jianjun Chen (ByteDance)
  • HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud
    Zongpu Zhang (Shanghai Jiao Tong University), Jiangtao Chen (Shanghai Jiao Tong University), Banghao Ying (Shanghai Jiao Tong University), Yahui Cao (Intel Asia-Pacific R&D Ltd.), Lingyu Liu (Intel Asia-Pacific R&D Ltd.), Jian Li (Shanghai Jiao Tong University), Xin Zeng (Intel Asia-Pacific R&D Ltd.), Junyuan Wang (Intel Asia-Pacific R&D Ltd.), Weigang Li (Intel Asia-Pacific R&D Ltd.), Haibing Guan (Shanghai Jiao Tong University)
  • SmartNIC Security Isolation in the Cloud with S-NIC
    Yang Zhou (Harvard University), Mark Wilkening (Harvard University), James Mickens (Harvard University), Minlan Yu (Harvard University)
10:30-11:00
11:00-12:30 Session J: Scheduling, Shifting and Scaling Workloads
(Session Chair: John Wilkes)
  • Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices
    Ka-Ho Chow (Georgia Institute of Technology), Umesh Deshpande (IBM Research - Almaden), Veera Deenadhayalan (IBM Research - Almaden), Sangeetha Seshadri (IBM Research - Almaden), Ling Liu (Georgia Institute of Technology)
  • Erlang: Application-Aware Autoscaling for Cloud Microservices
    Vighnesh Sachidananda (Google), Anirudh Sivaraman (NYU)
  • On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud
    Thanathorn Sukprasert (University of Massachusetts Amherst), Abel Souza (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), David Irwin (University of Massachusetts, Amherst), Prashant Shenoy (University of Massachusetts Amherst)
  • TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load
    Sultan Mahmud Sajal (The Pennsylvania State University), Timothy Zhu (The Pennsylvania State University), Bhuvan Urgaonkar (The Pennsylvania State University), Siddhartha Sen (Microsoft Research)
  • Enoki: High Velocity Linux Kernel Scheduler Development
    Samantha Miller (University of Washington), Anirudh Kumar (University of Washington), Tanay Vakharia (University of Washington), Ang Chen (University of Michigan), Danyang Zhuo (Duke University), Thomas Anderson (University of Washington)
  • Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling
    Sian Jin (Indiana University), Sheng Di (Argonne National Laboratory), Frédéric Vivien (INRIA, France), Daoce Wang (Indiana University), Yves Robert (Ecole Normale Supérieure de Lyon, France), Dingwen Tao (Indiana University), Franck Cappello (Argonne National Laboratory)
12:30-13:45
13:45-15:30 Session K: Systems for ML
(Session Chair: Thaleia Dimitra Doudali)
  • NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
    Dhananjay Saikumar (University of St Andrews), Blesson Varghese (University of St Andrews)
  • Model Selection for Latency-Critical Inference Serving
    Daniel Mendoza (Stanford University), Francisco Romero (Stanford University), Caroline Trippel (Stanford University)
  • Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation
    Zicong Hong (The Hong Kong Polytechnic University), Jian Lin (Shantou University), Song Guo (Hong Kong Polytechnic University), Sifu Luo (Sun Yat-sen University), Wuhui Chen (Sun Yat-sen University), Roger Wattenhofer (ETH Zurich), Yue Yu (Peng Cheng Laboratory)
  • CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
    Hanpeng Hu (The University of Hong Kong), Junwei Su (The University of Hong Kong), Juntao Zhao (The University of Hong Kong), Yanghua Peng (ByteDance Inc.), Yibo Zhu (ByteDance Inc.), Haibin Lin (ByteDance Inc.), Chuan Wu (The University of Hong Kong)
  • Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications
    Foteini Strati (ETH Zurich), Xianzhe Ma (ETH Zurich), Ana Klimovic (ETH Zurich)
  • Blox: A Modular Toolkit for Deep Learning Schedulers
    Saurabh Agarwal (University of Wisconsin-Madison), Amar Phanishayee (Microsoft Research), Shivaram Venkataraman (University of Wisconsin-Madison)
  • Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures
    Tanmaey Gupta (Microsoft Research India), Sanjeev Krishnan (Microsoft Research India), Rituraj Kumar (Microsoft Research India), Abhishek Vijeev (Microsoft Research India), Bhargav Gulavani (Microsoft Research India), Nipun Kwatra (Microsoft Research India), Ramachandran Ramjee (Microsoft Research India), Muthian Sivathanu (Microsoft Research India)
15:30-16:00
16:00-17:30 Session L: Distributed Systems + Runtime and Compilers
(Session Chair: Rodrigo Bruno)
  • Polynima - Practical Hybrid Recompilation for Multithreaded Binaries
    Chinmay Deshpande (University of California, Irvine), Fabian Parzefall (University of California, Irvine), Felicitas Hetzelt (University of California, Irvine), Michael Franz (University of California, Irvine)
  • Transparent Multicore Scaling of Single-Threaded Network Functions
    Lei Yan (EPFL), Yueyang Pan (EPFL), Diyu Zhou (EPFL), George Candea (EPFL), Sanidhya Kashyap (EPFL)
  • Jade: A High-throughput Concurrent Copying Garbage Collector
    Mingyu Wu (Shanghai Jiao Tong University), Liang Mao (Alibaba Group), Yude Lin (Alibaba Group), Yifeng Jin (Alibaba Group), Zhe Li (Shanghai Jiao Tong University), Hongtao Lyu (Shanghai Jiao Tong University), Jiawei Tang (Alibaba Group), Xiaowei Lu (Alibaba Group), Hao Tang (Alibaba Group), Denghui Dong (Alibaba Group), Haibo Chen (Shanghai Jiao Tong University; Engineering Research Center for Domain-specific Operating Systems), Binyu Zang (Shanghai Jiao Tong University; Engineering Research Center for Domain-specific Operating Systems)
  • Adaptable Runtime Monitoring for Intermittent Systems
    Eren Yildiz (Ege University), Khakim Akhunov (University of Trento), Lorenzo Antonio Riva (University of Trento), Arda Goknil (SINTEF Digital), Ivan Kurtev (Eindhoven University of Technology), Kasim Sinan Yildirim (University of Trento)
  • Save the Bruised Striver: A Reliable Live Patching Framework for Protecting Real-World PLCs
    Ming Zhou (School of Cyber Science and Engineering, Nanjing University of Science and Technology), Haining Wang (Virginia Tech), Ke Li (NARI Group Corporation State Grid Electric Power Research Institute), Hongsong Zhu (School of Cyber Security, University of Chinese Academy of Sciences, Institute of Information Engineering, CAS), Limin Sun (School of Cyber Security, University of Chinese Academy of Sciences, Institute of Information Engineering, CAS)
  • Efficient Auditing of Event-driven Web Applications
    Ioanna Tzialla (NYU and Google), Jeffery Wang (NYU), Jingyi Zhu (ETH Zurich), Aurojit Panda (NYU), Michael Walfish (NYU)
17:30-18:00 Closing