University of Michigan Central Campus - venue for ACM SIGMETRICS 2026

ACM SIGMETRICS 2026

Ann Arbor, Michigan, USA
June 8-12, 2026

Conference Venue

Michigan Union: 530 S. State Street Ann Arbor, MI 48103

Most of the talks will be situated on the second floor

WIFI Access

Use either eduroam, or Mguest for visitors. Click here for details

Conference Program

Tutorial

Monday

June 8, 2026

7:30 am REGISTRATION2nd floor crossing7:30am-8:30am
8:00 am
8:30 am Light breakfastRogel Ballroom8:30am-9:00am
9:00 am Causal Survival AnalysisPendleton90 min9:00am-10:30am Efficient Large Language Model Inference2210 A90 min9:00am-10:30am
9:30 am
10:00 am
10:30 am Coffee break: Idea Hub -- 30 min10:30am-11:00am
11:00 am Causal Survival AnalysisPendleton90 min11:00am-12:30pm Efficient Large Language Model Inference2210 A90 min11:00am-12:30pm
11:30 am
12:00 pm
12:30 pm LunchRogel Ballroom1 hr12:30pm-1:30pm
1:00 pm
1:30 pm CANCELEDControlled Generation for Large Foundation Models1.5 hrs1:30-3pm Structure Exploiting Multi-Agent Reinforcement Learning for Networked Systems1.5 hrs1:30pm-3:00pm
2:00 pm
2:30 pm
3:00 pm Break 30 min3:00 - 3:30pm
3:30 pm Mentoring WorkshopPendleton2 hours3:30pm-5:30pm
4:00 pm
4:30 pm
5:00 pm
5:30 pm TPC dinnerRogel Ballroom5:30pm-7:30pm
6:00 pm
6:30 pm
7:00 pm

Main Conference

Tuesday - Thursday

June 9-11, 2026

June 9, 2026 June 10, 2026 June 11, 2026
Tuesday Wednesday Thursday
7:30 am REGISTRATION2nd floor crossing7:30am-8:15am REGISTRATION2nd floor crossing7:30am-8:30am REGISTRATION2nd floor crossing7:30am-8:30am
8:00 am
Light breakfastRogel Ballroom8:15am-8:45am
8:30 am Light breakfastRogel Ballroom8:30am-8:45am Light breakfastRogel Ballroom8:30am-9:00am
Opening remarks:Pendleton8:45am-9:00am ACM SIGMETRICS 2027 Announcement Pendleton8:45am-9:00am
9:00 am Keynote 1: Vishal Misra, Columbia UniversityModerator: Atilla EryilmazPendleton1 hr9:00am-10:00am Sigmetrics Achievement AwardAlexandre Proutiere, KTHModerator: Nicolas GastPendleton1 hr9:00am-10:00am Keynote 3: Steve Teig, AmazonModerator: Giulia FantiPendleton1 hr9:00am-10:00am
9:30 am
10:00 am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:0am-10:30am
10:30 am 1A: Online learningPendleton2 hours10:30am-12:30pm 1B: Blockchain 12210AB2 hours10:30am-12:30pm 1C: LLM benchmarking and cachingPond (1st flr)2 hours10:30am-12:30pm 3A: Queueing and SchedulingPendleton2 hrs10:30am-12:30pm 3B: Storage & memory2210AB2 hrs10:30am-12:30pm 3C: Learning-augmented and sequential learning2210C2 hrs10:30am-12:30pm 3D: SustainabilityPond (1st flr)2 hrs10:30am-12:30pm 5A: QueueingPendleton2 hrs10:30am-12:30pm 5B: Quantum systems 12210AB2 hrs10:30am-12:30pm 5C: Networking 3: satellitePond (1st flr)2 hrs10:30am-12:30pm 5D: Measurement2210C2 hrs10:30am-12:30pm
11:00 am
11:30 am
12:00 pm
12:30 pm Women & Nonbinary in SIGMETRICS LunchRogel Ballroom1 hr12:30pm-1:30pm Lunch is for everyone. We will have some tables reserved for discussions related to Women & Nonbinary in SIGMETRICS Student Mentoring LunchRogel Ballroom1 hr12:30pm-1:30pm Lunch is for everyone. We will have some tables reserved for student mentoring LunchRogel Ballroom1 hr12:30pm-1:30pm
1:00 pm
SRC (Undergraduate)2210AB1:15 - 2:30 pm SRC (Graduate)Pond (1st flr)1:15 - 2:30 pm
1:30 pm Sigmetrics Rising Star Research AwardSangeetha Abdu Jyothi, UC IrvineModerator: Stefan SchmidPendleton1 hr1:30pm-2:30pm 4A: Game theoryPendleton2.5 hrs1:30pm-4:00pm 4B: HPC & GPU computing2210AB2.5 hrs1:30pm-4:00pm 4C: Networking 2Pond (1st flr)2.5 hrs1:30pm-4:00pm Industry PanelPendleton1:30pm-2:30pm
2:00 pm
2:30 pm 2A: Distributed learningPendleton1 hr2:30pm-3:30pm 2B: Caching2210AB1 hr2:30pm-3:30pm 2C: Networking 1 : congestion controlPond (1st flr)1 hr2:30pm-3:30pm 6A: Blockchain 2Pendleton1 hr2:30pm-3:30pm 6B: Quantum systems 22210AB1 hr2:30pm-3:30pm 6C: Networking 4Pond (1st flr)1 hr2:30pm-3:30pm
3:00 pm
3:30 pm Coffee breakRogel Ballroom 30 min3:30pm-4:00pm Coffee breakRogel Ballroom 30 min3:30pm-4:00pm
4:00 pm Business meetingPendleton1.5 hrs4:00pm-5:30pm Coffee breakRogel Ballroom 30 min4:00pm-4:30pm 7A: Theoretical machine learningPendleton1.5 hrs4:00pm-5:30pm 7B: HPC2210AB1.5 hrs4:00pm-5:30pm 7C: LLM schedulingPond (1st flr)1.5 hrs4:00-5:30pm
4:30 pm Keynote 2: Adam Kalai, OpenAI Moderator: Vijay SubramanianPendleton1 hr4:30pm-5:30pm
5:00 pm
5:30 pm Reception & Poster session(Student Posters and Student Research Competition)Rogel Ballroom2.5 hrs5:30pm-8:00pm BanquetLocation: Detroit Institute of ArtsBus pick-up at 5:30pm5:30pm-9:30pm Closing remarks:Pendleton5:30pm-5:45pm
6:00 pm
6:30 pm
7:00 pm
7:30 pm
8:00 pm
8:30 pm
9:00 pm

Workshop

Friday

June 12, 2026

7:30 am REGISTRATION2nd floor crossing7:30am-8:30am
8:00 am
8:30 am Frontiers in Generative AI: Foundation and Algorithms (GenAI)Pendleton2nd floor1.5 hr8:30am-10:00am Light breakfastRogel Ballroom8:30am-8:50am Light breakfastRogel Ballroom8:30am-9:00am Light breakfastRogel Ballroom8:30am-8:50am Light breakfastRogel Ballroom8:30am-9:00am Light breakfastRogel Ballroom8:30am-9:00am Light breakfastRogel Ballroom8:30am-9:00am
Workshop on Measurements, Modeling, and Metrics for Carbon-Aware Computing (Carbon Metrics)2210A2nd floor1.25 hr8:50am-10:00am MAthematical performance Modeling and Analysis (MAMA)2210 C2nd floor1.25 hr8:50am-10:00am
9:00 am Causal Inference WorkshopPond1st floor1 hr9:00am-10:00am Frontiers in Stochastic Control and Reinforcement Learning (SC&RL)Wolverine3rd floor1 hr9:00am-10:00am Learning-augmented Algorithms: Theory and Applications (LATA)Parker2nd floor1 hr9:00am-10:00am
9:30 am
10:00 am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am Coffee breakRogel Ballroom 30 min10:00am-10:30am
10:30 am Frontiers in Generative AI: Foundation and Algorithms (GenAI)Pendleton2nd floor1.5 hrs10:30am-12noon Workshop on Measurements, Modeling, and Metrics for Carbon-Aware Computing (Carbon Metrics)2210A2nd floor1.5 hrs10:30am-12noon MAthematical performance Modeling and Analysis (MAMA)2210 C2nd floor1.5 hrs10:30am-12noon Causal Inference WorkshopPond1st floor1.5 hrs10:30am-12noon Frontiers in Stochastic Control and Reinforcement Learning (SC&RL)Wolverine3rd floor1.5 hrs10:30am-12noon Learning-augmented Algorithms: Theory and Applications (LATA)Parker2nd floor1.5 hr10:30am-12noon
Quantum Metrics and Performance Evaluation Workshop (QMETRICS)2210 B2nd floor1.25 hrs10:45am-11:50am
11:00 am
11:30 am
12:00 pm LunchRogel Ballroom12noon-1:30pm LunchRogel Ballroom12noon-1:30pm LunchRogel Ballroom12noon-1:00pm LunchRogel Ballroom12noon-1:30pm LunchRogel Ballroom12noon-1:30pm LunchRogel Ballroom12noon-1:30pm LunchRogel Ballroom12noon-1:30pm
12:30 pm
1:00 pm Quantum Metrics and Performance Evaluation Workshop (QMETRICS)2210 B2nd floor1 hr1:00pm-1:50pm
1:30 pm Frontiers in Generative AI: Foundation and Algorithms (GenAI)Pendleton2nd floor1.5 hrs1:30pm-3:00pm MAthematical performance Modeling and Analysis (MAMA)2210 C2nd floor1.5 hrs1:30pm-3:00pm Causal Inference WorkshopPond1st floor1.5 hrs1:30pm-3:00pm Frontiers in Stochastic Control and Reinforcement Learning (SC&RL)Wolverine3rd floor1.5 hrs1:30pm-3:00pm Learning-augmented Algorithms: Theory and Applications (LATA)Parker2nd floor1.5 hr1:30pm-3pm
2:00 pm
Quantum Metrics and Performance Evaluation Workshop (QMETRICS)2210 B2nd floor1 hr2:15pm-3:15pm
2:30 pm
3:00 pm Coffee breakRogel Ballroom3:00pm-3:30pm Coffee breakRogel Ballroom3:00pm-3:30pm Coffee breakRogel Ballroom3:00pm-3:30pm Coffee breakRogel Ballroom3:00pm-3:30pm Coffee breakRogel Ballroom3:00pm-3:30pm Coffee breakRogel Ballroom3:00pm-3:30pm
Coffee breakRogel Ballroom3:15pm-3:30pm
3:30 pm Frontiers in Generative AI: Foundation and Algorithms (GenAI)Pendleton2nd floor1.5 hrs3:30pm-5:00pm MAthematical performance Modeling and Analysis (MAMA)2210 C2nd floor2 hrs3:30pm-5:40pm Causal Inference WorkshopPond1st floor1.5 hrs3:30pm-5:00pm Frontiers in Stochastic Control and Reinforcement Learning (SC&RL)Wolverine3rd floor1.5 hrs3:30pm-5:00pm
Quantum Metrics and Performance Evaluation Workshop (QMETRICS)2210 B2nd floor1 hr3:45pm-4:35pm
4:00 pm
4:30 pm
5:00 pm
5:30 pm

Industry Panel

Industry Panel

Network, Hardware, and Systems Bottlenecks in Modern AI: Can SIGMETRICS help?

Moderator: Ramesh K. Sitaraman: Chief Consulting Scientist (Akamai Tech) and Distinguished University Professor & Associate Dean (UMass Amherst)

  • Ran Ben-Basat
    Associate Professor at UCL and Affiliated Researcher at Broadcom
  • Nada Golmie
    NIST Fellow, National Institute of Standards and Technology
  • Steven Teig
    Vice-President and Distinguished Engineer, Amazon

Talk Sessions

Session Details

June 9, 2026

Tuesday

Session 1A: Online learning

Pendleton · 10:30am - 12:30pm · 2 hours

Session Chair: Adam Wierman

  • Learning to Allocate Reusable Resources under Stochastic Rewards and Durations
    Ativ Joshi, Qingsong Liu (University of Massachusetts Amherst); Mohammad Hajiesmaili (UMass Amherst)
    Abstract Paper
  • Offline Local Search for Online Stochastic Bandits
    Gerdus Benade (Boston University); Rathish Das (University of Houston); Thomas Lavastida (University of Texas at Dallas)
    AbstractPreprint
  • Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models
    Mengfan Xu (University of Massachusetts Amherst); Liren Shan (Toyota Technological Institute at Chicago); Fatemeh Ghaffari, Xuchuang Wang (University of Massachusetts Amherst); Xutong Liu (Carnegie Mellon University); Mohammad Hajiesmaili (University of Massachusetts Amherst)
    Abstract Paper
  • A Unified Framework for Online Combinatorial Allocation of Reusable Resources under Endogenous Deterioration
    Qingsong Liu (University of Massachusetts Amherst); Mohammad Hajiesmaili (UMass Amherst)
    Abstract Paper

Session 1B: Blockchain 1

2210AB · 10:30am - 12:30pm · 2 hours

Session Chair: Giulia Fanti

  • Geographical Centralization Resilience in Ethereum's Block-Building Paradigms
    Sen Yang (Yale University, IC3); Burak Öz (Flashbots); Fei Wu (King's College London); Fan Zhang (Yale University, IC3)
    Abstract Paper
  • Beyond Single-Tokenomics: How Farcaster’s Pluralistic Incentives Reshape Social Networking
    Wen Yang, Qiming Ye (Hong Kong University of Science and Technology (Guangzhou)); Onur Ascigil (Lancaster University); Saidu Sokoto (City St George’s, University of London); Leonhard Balduf (TU Darmstadt); Michał Król (City St George’s, University of London); Gareth Tyson (Hong Kong University of Science and Technology (Guangzhou))
    Abstract Paper
  • Cross-Chain Arbitrage: The Next Frontier of MEV in Decentralized Finance
    Burak Öz (Technical University of Munich); Christof Ferreira Torres (INESC-ID / Instituto Superior Técnico (IST), University of Lisbon); Christoph Schlegel, Bruno Mazorra (Flashbots); Jonas Gebele, Filip Rezabek, Florian Matthes (Technical University of Munich)
    Abstract Paper
  • Multiple Sides of 36 Coins: Measuring Peer-to-Peer Infrastructure Across Cryptocurrencies
    Lucianna Kiffer (IMDEA Networks); Lioba Heimbach, Yann Vonlanthen (ETH Zurich); Dennis Trautwein (University of Göttingen); Oliver Gasser (IPinfo)
    Abstract Paper

Session 1C: LLM benchmarking and caching

Pond (1st flr) · 10:30am - 12:30pm · 2 hours

Session Chair: Xutong Liu

  • Benchmarking and Characterization of Large Language Model Inference on Apple Silicon
    Afsara Benazir, Felix Xiaozhu Lin (University of Virginia)
    Abstract Paper
  • WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching
    Xiangchen Li, Jiakun Fan (Virginia Tech); Qingyuan Wang (University College Dublin); Dimitrios Spatharakis (National Technical University of Athens); Saeid Ghafouri (Queen’s University Belfast); Hans Vandierendonck (Queens University Belfast); Deepu John (University College Dublin); Bo Ji, Ali R. Butt, Dimitrios Nikolopoulos (Virginia Tech)
    Abstract Paper
  • UniCache: Unifying Prefix Cache Eviction for Heterogeneous LLM Serving Workloads
    Bei Ouyang (Rice University); Yifan Qiao (UC Berkeley); Jiarong Xing (Rice University)
    Abstract Paper
  • Mapping the Landscape of LLM Deployment in the Wild: Prevalence, Patterns, and PerilsVirtual talk
    Xinyi Hou, Jiahao Han, Yanjie Zhao, Shenao Wang, Haoyu Wang (Huazhong University of Science and Technology)
    Abstract Paper

Session 2A: Distributed learning

Pendleton · 2:30pm - 3:30pm · 1 hr

Session Chair: Varun Gupta

  • SemanticDFL: Similarity-Aware Pull-based Personalized Decentralized Federated Learning
    Javad Dogani (IMDEA Networks Institute); Mostafa Khastkhodaei, Farshad Khunjush (Shiraz University); Nikolaos Laoutaris (IMDEA Networks Institute)
    Abstract Paper
  • Analyzing Symbolic Properties for DRL Agents in Systems and Networking
    Mohammad Zangooei (University of Waterloo); Jannis Weil, Amr Rizk (Leibniz University Hannover); Mina Tahmasbi Arashloo, Raouf Boutaba (University of Waterloo)
    Abstract Paper

Session 2B: Caching

2210AB · 2:30pm - 3:30pm · 1 hr

Session Chair: Xutong Liu

  • Performance Analysis of the Randomized SIEVE/CLOCK cache replacement algorithm
    Yirong Wang, Peter Desnoyers (Northeastern University); Benny Van Houdt (University of Antwerp)
    Abstract Paper
  • EviDex: Provenance-Weighted Evidence-Path Indexing for Fresh and Auditable Retrieval under Continuous Updates
    Rui Li, Shuang Cao, Ruihua Liu, Alexandre Duprey (Hill Research)
    Abstract Paper

Session 2C: Networking 1 : congestion control

Pond (1st flr) · 2:30pm - 3:30pm · 1 hr

Session Chair: Minzhao Lyu

  • Can Multipath TCP Congestion Control do better without adhering to its First Design Principle?
    Xuan Wang (The University of Texas at Arlington); Hao Che (Department of Computer Science and Engineering, The University of Texas at Arlington); Zhijun Wang (University of Texas at Arlington); Hong Jiang (UT Arlington)
    Abstract Paper
  • PEMI: Transparent Performance Enhancements for QUICVirtual talk
    Jie Zhang (Tsinghua University); Lei Zhang (Zhongguancun Laboratory); Ziyi Wang (Beijing University of Posts and Telecommunications); Chenxiang Sun (Tsinghua University); Yuming Hu (University of Minnesota -- Twin Cities); Xiaohui Xie, Zeqi Lai, Yong Cui (Tsinghua University)
    Abstract Paper

June 10, 2026

Wednesday

Session 3A: Queueing and Scheduling

Pendleton · 10:30am - 12:30pm · 2 hrs

Session Chair: Ziv Scully

  • Higher-Order Approximations of Sojourn Times in M/G/1 Queues via Stein’s Method
    Bihan Chatterjee, Siva Theja Maguluri, Debankur Mukherjee (Georgia Institute of Technology)
    Abstract Paper
  • Empirical Gittins for data-driven M/G/1 scheduling with arbitrary job size distributions
    Shefali Ramakrishna, Amit Harlev, Ziv Scully (Cornell University)
    Abstract Paper
  • A Tale of Two Traffics: Optimizing Tail Latency in the Light-Tailed M/G/k
    George Yu, Amit Harlev, Reevu Adakroy, Ziv Scully (Cornell University)
    Abstract Paper
  • Outperforming Multiserver SRPT at All Loads
    Izzy Grosof, Daniela Hurtado Lange (Northwestern University)
    AbstractPreprint

Session 3B: Storage & memory

2210AB · 10:30am - 12:30pm · 2 hrs

Session Chair: Ramesh Sitaraman

  • Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps
    Chen Gong, Yan Zhuang, Zhenzhe Zheng (Shanghai Jiao Tong University); Yiliu Chen, Sheng Wang (ByteDance); Fan Wu, Guihai Chen (Shanghai Jiao Tong University)
    Abstract Paper
  • Experimental Study on System-Level Performance Impact of Read Disturbance in Modern SSDs
    Yonggon Park, Hyunuk Cho (POSTECH); Onur Mutlu (ETH Zurich); Sungjin Lee (POSTECH); Jisung Park (POSTECH (Pohang University of Science and Technology))
    Abstract Paper
  • cPMEM: A Design of Byte-Addressable Persistent Memory with Compute Express Link for Data Center Applications
    Gaocong Liu, Mengting Lu, Kun Wang, Feng Zhu (Alibaba Cloud); Shu Li (Alibaba Group)
    Abstract Paper
  • CAPSULE: A Storage Prefetcher Harnessing Spatio-Temporal Locality for Cloud-Scale Workloads
    Agung Rahmat Ramadhan, Seehwan Yoo, Jongmoo Choi (Dankook University)
    Abstract Paper

Session 3C: Learning-augmented and sequential learning

2210C · 10:30am - 12:30pm · 2 hrs

Session Chair: Jianyi Yang

  • Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long WayBest Paper Award Finalist
    Chido Onyeze (Cornell University); Sean R. Sinclair (Northwestern University); Chamsi Hssaine (University of Southern California, Marshall School of Business); Siddhartha Banerjee (Cornell University)
    AbstractPreprint
  • Prediction-Specific Design of Learning-Augmented Algorithms
    Sizhe Li (The Chinese University of Hong Kong, Shenzhen); Nicolas Christianson (Stanford University); Tongxin Li (The Chinese University of Hong Kong, Shenzhen)
    Abstract Paper
  • Online Smoothed Demand Management
    Adam Lechowicz (University of Massachusetts Amherst); Nicolas Christianson (Stanford University); Mohammad Hajiesmaili (University of Massachusetts Amherst); Adam Wierman (California Institute of Technology); Prashant Shenoy (University of Massachusetts Amherst)
    AbstractPreprint
  • Green Bin Packing
    Jackson Bibbens, Cooper Sigrist (University of Massachusetts Amherst); Bo Sun (University of Ottawa); Shahin Kamali (York University); Mohammad Hajiesmaili (University of Massachusetts Amherst)
    Abstract Paper

Session 3D: Sustainability

Pond (1st flr) · 10:30am - 12:30pm · 2 hrs

Session Chair: Adam Wierman

  • Characterizing Performance–Energy Trade-offs of Large Language Models in Multi-Request WorkflowsVirtual talk
    Md. Monzurul Amin Ifath, Israat Haque (Dalhousie University)
    Abstract Paper
  • Cache Your Prompt When It’s Green — Carbon-aware Caching for Large Language Model Serving
    Yuyang Tian, Desen Sun (University of Waterloo); Yi Ding (Purdue University); Sihang Liu (University of Waterloo)
    Abstract Paper
  • From Measurement to Emissions: Assessing the Carbon Footprint of Traffic FlowsBest Paper Award Finalist
    Sawsan El-Zahr, Noa Zilberman (University of Oxford)
    Abstract Paper
  • HealthServe: A Public Health-Aware Inference Framework
    Sicheng Zhou, Rohan Basu Roy (University of Utah)
    Abstract Paper

Session 4A: Game theory

Pendleton · 1:30pm - 4:00pm · 2.5 hrs

Session Chair: Varun Gupta

  • Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection
    Ruifan Yang (Cornell University); Manxi Wu (University of California Berkeley)
    Abstract Paper
  • Information Design for Prosocial Behavior
    Alexandre Reiffers (IMT Atlantique); Rajesh Sundaresan (Indian Institute of Science)
    Abstract Paper
  • The Price of Strategic Information: Degree-Based Bounds on Inefficiency in Distributed Learning Games
    Tuan Ngoc Do, Hai Duc Nguyen, Khanh Quoc Nguyen, Hiep Quang Dao, Anh Duc-Duy Nguyen, Luong Cong Nguyen (Phenikaa University, Hanoi, Vietnam)
    Abstract Paper
  • Nash Equilibria in Uniform Price Auctions: Theory, Computation, and Market Insights
    Yifan Feng (National University of Singapore); Negin Golrezaei (Massachusetts Institute of Technology); Qinzhen Li (National University of Singapore)
    AbstractPreprint
  • Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion
    Yumou Liu, Zhenzhe Zheng (Shanghai Jiao Tong University); Jiang Rong, Yao Hu (Xiaohongshu); Fan Wu, Guihai Chen (Shanghai Jiao Tong University)
    Abstract Paper

Session 4B: HPC & GPU computing

2210AB · 1:30pm - 4:00pm · 2.5 hrs

Session Chair: Lishan Yang

  • Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
    Rutwik Jain, Yiwei Jiang (University of Wisconsin Madison); Matthew D. Sinclair (University of Wisconsin–Madison); Shivaram Venkataraman (University of Wisconsin-Madison)
    Abstract Paper
  • LPGSim: A Lightweight Parallel GPU Simulator Maximizing Speed with Trustworthy Simulation
    Hyunwoo Nam, Jay Hwan Lee, Yeonsoo Kim, Mengzhao Zhang (Yonsei University); Jeonggeun Kim (Kyungpook National University); Bernd Burgstaller (Yonsei University)
    Abstract Paper
  • Towards Scalable Storage Architectures for GPU Clusters Running Large Language Models
    Ali Sedaghatgoo (Sharif University of Technology); Reza Salkhordeh (Johannes Gutenberg-Universität Mainz); André Brinkmann (Johannes Gutenberg University Mainz); Hossein Asadi (Sharif University of Technology)
    Abstract Paper
  • cuPTW: Leveraging Idle Compute Units for Massively Parallel GPU Page Table WalksVirtual talk
    Zihang Chen (The Hong Kong University of Science and Technology (Guangzhou)); Tianao Ge (Hong Kong University of Science and Technology (Guangzhou)); Lieven Eeckhout (Ghent University); Hongyuan Liu (Stevens Institute of Technology); Jiayi Huang (HKUST(GZ))
    Abstract Paper
  • RELL-STC: An Efficient SpMM Extension of Sparse Tensor Core with Re-structured ELLPACK and Gustavson DataflowVirtual talk
    Jianfeng Cui (National University of Defense Technology); Bo Yuan (College of Computer Science, National University of Defense Technology); Zekun Jiang (National University of Defense Technology); Sheng Liu (National University of Defense Technology,China); Kai Lu (National University of Defense Techonology)
    Abstract Paper

Session 4C: Networking 2

Pond (1st flr) · 1:30pm - 4:00pm · 2.5 hrs

Session Chair: Giulia Fanti

  • MATER: Mutually Aware Framework for Teleoperated-robot with Extended Reality
    Ziliang Zhang, Cong Liu (University of California, Riverside); Hyoseung Kim (UC Riverside)
    Abstract Paper
  • Assessing Resilience in Authoritative DNS Infrastructure Supporting Government Services
    Agung Septiadi, Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman (University of New South Wales)
    Abstract Paper
  • CAP: Detecting Network Device Misconfigurations with Context-Aware Prompting of LLMs
    Xi Jiang (University of Chicago); Aaron Gember-Jacobson (Colgate University); Nick Feamster (University of Chicago)
    Abstract Paper
  • Janus: A Dual-Mask Attention Transformer for Log-based Anomaly Detection in Cellular Networks
    Umakant Kulkarni (Purdue University/Dept. of Computer Science); Sonia Fahmy (Purdue University)
    Abstract Paper
  • Dynamic SLA-aware Network Slice Monitoring
    Niloy Saha, Mina Tahmasbi Arashloo (University of Waterloo); Nashid Shahriar (University of Regina); Raouf Boutaba (University of Waterloo)
    Abstract Paper

June 11, 2026

Thursday

Session 5A: Queueing

Pendleton · 10:30am - 12:30pm · 2 hrs

Session Chair: Izzy Grosof

  • Stochastic Network Utility Maximization in Strategic Queueing Systems: A Game-Theoretic Approach
    Quang Minh Nguyen (Massachusetts Institute of Technology); Randall Berry (Northwestern University); Eytan Modiano (Massachusetts Institute of Technology)
    Abstract Paper
  • The Multiserver-Job Stochastic Recurrence Equation for Cloud Computing Performance Evaluation
    François Baccelli (INRIA); Diletta Olliaro (Ca' Foscari University of Venice, KTH Royal Institute of Technology); Marco Ajmone Marsan (IMDEA Networks Institute); Marin Andrea (University Ca' Foscari of Venice)
    Abstract Paper
  • Efficiency-Reward Trade-Off in Queues with Dynamic Arrivals
    Tianze Qu (University of Michigan, Ann Arbor); Sushil Mahavir Varma (University of Michigan Ann Arbor)
    AbstractPreprint
  • Robustness of the 2-Choices Dynamics to Node Failures
    Luke Meredith, Arpan Mukhopadhyay (University of Warwick)
    Abstract Paper

Session 5B: Quantum systems 1

2210AB · 10:30am - 12:30pm · 2 hrs

Session Chair: Aleksandra Swierkowska

  • ScaleQsim: Highly Scalable Quantum Circuit Simulation Framework for Exascale HPC Systems
    Changjong Kim, Ehan Sohn, Seunghwan Kim (Seoul National University of Science and Technology); Alex Sim, Kesheng Wu, Houjun Tang (Lawrence Berkeley National Laboratory); Yongseok Son (Chung-Ang University); Sunggon Kim (Seoul National University of Science and Technology)
    Abstract Paper
  • Anchor: Reducing Temporal and Spatial Output Performance Variability on Quantum Computers
    Yuqian Huo, Daniel Leeds, Jason Z. Ludmir, Nicholas S. DiBrita, Tirthak Patel (Rice University)
    Abstract Paper
  • ObliQ: Solving Quadratic Unconstrained Binary Optimization Problems on Real Photonic Quantum Machines
    Aditya Ranjan, Daniel Silver (Northeastern University); Tirthak Patel (Rice University); Bhargav Chickmagalurnanjun, Devesh Tiwari (Northeastern University)
    Abstract Paper
  • A Fine-Grained and Efficient Reliability Analysis Framework for Noisy Quantum Circuits
    Jindi Wu (DePaul University); Tianjie Hu, Qun Li (William & Mary)
    Abstract Paper

Session 5C: Networking 3: satellite

Pond (1st flr) · 10:30am - 12:30pm · 2 hrs

Session Chair: Sonia Fahmy

  • Horizon: Understanding and Predicting Global Starlink Performance
    Cristian Benghe, Vlad Graure, Tanya Shreedhar, Nitinder Mohan (TU Delft)
    Abstract Paper
  • Exploring the 5G Digital Divide in the Non-Contiguous US: LEO Satellites to the Rescue?
    Sizhe Wang, Moinak Ghoshal, Yufei Feng, Imran Khan, Phuc Dinh (Northeastern University); Omar Basit (Purdue University); Zhekun Yu (Northeastern University); Y. Charlie Hu (Purdue University); Dimitrios Koutsonikolas (Northeastern University)
    Abstract Paper
  • A Comprehensive Study of Satellite Network Performance During Severe or Extreme Geomagnetic Storms over 1.5 Years (May 2024 – Oct 2025)Virtual talk
    Saeed Fadaei (University of Surrey); Aravindh Raman (Cisco ThousandEyes); Prince Bhardwaj Pawankumar Sharma (University of Surrey); Nishanth Sastry (University of Surrey, UK)
    Abstract Paper
  • A Variegated Look at Direct-to-Cell Satellites in the Wild
    Wei Liu, Jingyi Lan, Yuanjie Li, Bowen Sun, Yekai Dong, Yufeng Wang, Hewu Li, Qian Wu, Zeqi Lai, Jun Liu (Tsinghua University)
    Abstract Paper

Session 5D: Measurement

2210C · 10:30am - 12:30pm · 2 hrs

Session Chair: Ran Ben Basat

  • Are We Ready to Enable Satellite Autonomy Through on Board Image Registration?
    Claudio Di Salvo (Politecnico di Milano); Emanuele Del Sozzo (MIT); Giuseppe Sorrentino (Politecnico di Milano); Eleonora D'Arnese (University of Edinburgh); Paolo Panicucci, Davide Conficconi (Politecnico di Milano)
    Abstract Paper
  • μ-VF: Enabling Virtualization of Embedded FPGAs
    Vincenzo Bucaria, Francesco Longo, Giovanni Merlino (University of Messina); Francesco Restuccia (Northeastern University)
    Abstract Paper
  • On Abnormal Execution Timing of Conditional Jump Instructions
    Annika Wilde (Ruhr University Bochum); Samira Briongos, Claudio Soriente (NEC Laboratories Europe); Ghassan Karame (Ruhr University Bochum)
    Abstract Paper
  • Shiny Objects: Object-Centric Characterization of Chromium
    Saket Upadhyay, Ashish Venkat (University of Virginia)
    Abstract Paper

Session 6A: Blockchain 2

Pendleton · 2:30pm - 3:30pm · 1 hr

Session Chair: Lucianna Kiffer

  • Shedding Light on Shadows: Automatically Tracing Illicit Money Flows on EVM-Compatible BlockchainsBest Paper Award Finalist
    Yicheng Huo (Zhejiang University); Yufeng Hu (City University of Hong Kong); Yajin Zhou (Zhejiang University); Ting Yu (Mohamed bin Zayed University of Artificial Intelligence); Lei Wu (Zhejiang University); Cong Wang (City University of Hong Kong)
    Abstract Paper
  • The Price of Interoperability: Exploring Cross-Chain Bridges and Their Economic Consequences
    Yiyue Cao, Mingzhe Zheng (The Hong Kong University of Science and Technology (Guangzhou)); Lin William Cong (Nanyang Technological University); Siguang Li, Xuechao Wang (The Hong Kong University of Science and Technology (Guangzhou))
    Abstract Paper

Session 6B: Quantum systems 2

2210AB · 2:30pm - 3:30pm · 1 hr

Session Chair: Aditya Ranjan

  • ECCentric: An Empirical Analysis of Quantum Error Correction Codes
    Aleksandra Świerkowska, Jannik Pflieger, Emmanouil Giortamis, Pramod Bhatotia (Technical University of Munich (TUM))
    Abstract Paper
  • Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with NEST
    Yuqian Huo, David Quiroga, Anastasios Kyrillidis, Tirthak Patel (Rice University)
    Abstract Paper

Session 6C: Networking 4

Pond (1st flr) · 2:30pm - 3:30pm · 1 hr

Session Chair: Minzhao Lyu

  • Enabling Reliable Network Management with Large Language Models
    Yajie Zhou (University of Maryland); Kevin Hsieh, Sathiya Kumaran Mani (Microsoft Research); Srikanth Kandula (Amazon Web Services); Zaoxing Liu (University of Maryland)
    Abstract Paper
  • The Impact of IP Version on Household Internet Speed: A Comparative Study
    Amanda Hsu (Georgia Institute of Technology); Nick Feamster (University of Chicago); Paul Pearce, Frank Li (Georgia Institute of Technology)
    Abstract Paper

Session 7A: Theoretical machine learning

Pendleton · 4:00pm - 5:30pm · 1.5 hrs

Session Chair: Alexandre Reiffers

  • A Minimal-Assumption Analysis of Q-Learning with Time-Varying PoliciesBest Paper Award Finalist
    Phalguni Nanda, Zaiwei Chen (Purdue University)
    Abstract Paper
  • Wasserstein‑p Central Limit Theorem Rates: From Local Dependence to Markov ChainsBest Paper Award Finalist
    Yixuan Zhang, Qiaomin Xie (University of Wisconsin-Madison)
    Abstract
  • Better than Optimal: Improving Adaptive Stochastic Quantization Using Shared Randomness
    Ran Ben Basat (University College London and Broadcom); Yaniv Ben-Itzhak (Broadcom); Michael Mitzenmacher (Harvard University); Shay Vargaftik (Broadcom)
    Abstract Paper

Session 7B: HPC

2210ABC · 4:00pm - 5:30pm · 1.5 hrs

Session Chair: Lishan Yang

  • ACALSim: A Scalable Parallel Simulation Framework for High-Performance System Design Space Exploration
    Wei-Fen Lin (Taiwan High-Performance Computing Education Association); Jen-Chien Chang, Yen-Po Chen (National Cheng Kung University); Zi-Yi Tai (Taiwan High-Performance Computing Education Association); Yu-Chen Chang (National Yang Ming Chiao Tung University); Chia-Pao Chiang, Yu-Yang Lee, Yu-Chieh Wang (National Cheng Kung University)
    Abstract Paper
  • Sumeru: Towards Understanding and Achieving Cache-Optimal Inbound Network I/OVirtual talk
    Minhu Wang (Tsinghua University); Mingwei Xu (Quan Cheng Laboratory); Jianping Wu (Tsinghua University)
    Abstract Paper
  • d-HNSW: A High-performance Vector Search Engine on Disaggregated Memory
    Fei Fang, Yi Liu, Chen Qian (University of California Santa Cruz)
    Abstract Paper

Session 7C: LLM scheduling

Pond (1st flr) · 4:00 - 5:30pm · 1.5 hrs

Session Chair: Ziv Scully

  • Pittacus: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
    Shashwat Jaiswal (University of Illinois Urbana-Champaign, USA); Kunal Jain (Microsoft); Yogesh Simmhan (Indian Institute of Science (IISc), Bangalore); Anjaly Parayil (Microsoft Research); Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal (Microsoft); Victor Rühle (Microsoft Research); Anoop Kulkarni, Steve Kofsky (Microsoft); Saravan Rajmohan (Microsoft 365)
    Abstract Paper
  • Optimizing Dropout in LLM Training: Performance Comparison of Fusion and Overlap
    Haiyue Ma (Princeton University); Jian Liu, Ronny Krashinsky (NVIDIA)
    Abstract Paper
  • Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
    Agrim Bari, Parikshit Hegde, Gustavo de Veciana (The University of Texas at Austin)
    Abstract Paper