Workshops and Tutorials | |||||
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8:00 AM - 9:00 AM
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Registration Opens at Morris Inn |
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9:00 AM - 10:30 AM
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PERMAVOST Room: Carmichael |
AI4SYS Room: Hesburgh |
QUASAR Room: Joyce |
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10:30 AM - 11:00 AM
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Coffee Break |
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11:00 AM - 12:30 PM
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PERMAVOST Room: Carmichael |
AI4SYS Room: Hesburgh |
QUASAR Room: Joyce |
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12:30 PM - 1:30 PM
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(Lunch on Your Own) |
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1:30 PM - 3:00 PM
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Tut.: Reproducible Perf Analysis Room: Carmichael |
FlexScience (+ FRAME) Room: Hesburgh |
QUASAR Room: Joyce |
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3:00 PM - 3:30 PM
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Coffee Break |
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3:30 PM - 5:00 PM
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Tut.: Reproducible Perf Analysis Room: Carmichael |
FlexScience (+ FRAME) Room: Hesburgh |
QUASAR Room: Joyce |
8:00 AM - 8:45 AM
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Registration Opens at Duncan Student Center 7th Floor |
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8:45 AM - 9:00 AM
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Welcome and IntroductionsGeneral Chairs: Douglas Thain, Jarek Nabrzyski |
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9:00 AM - 10:00 AM
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Keynote #1AbstractTBA
Speaker: Andrew Jones, Microsoft
BiographyTBASession Chair: TBA |
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10:00 AM - 10:30 AM
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Coffee Break |
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10:30 AM - 12:15 PM
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Numerical MethodsSession Chair: TBA |
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Virtualization So Light, it Floats! Accelerating Floating Point Virtualization Authors: Nicholas Wanninger , Nadharm Dhiantravan , Peter Dinda |
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FloatGuard: Efficient Whole-Program Detection of Floating-Point Exceptions in AMD GPUs Authors: Dolores Miao , Ignacio Laguna , Cindy Rubio-González |
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LiteForm: Lightweight and Automatic Format Composition for Sparse Matrix-Matrix Multiplication on GPUs Authors: Zhen Peng , Polykarpos Thomadakis , Jacques Pienaar , Gokcen Kestor |
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Optimization of GNN Training Through Half-precision Authors: Arnab Tarafder , Yidong Gong , Pradeep Kumar |
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12:15 PM - 1:15 PM
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Lunch - Duncan Student Center |
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1:15 PM - 3:00 PM
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Model TrainingSession Chair: TBA |
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SAFusion: Efficient Tensor Fusion with Sparsification Ahead for High-Performance Distributed DNN Training Authors: Zhangqiang Ming , Yuchong Hu , Xinjue Zheng , Wenxiang Zhou , Dan Feng |
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ModelX: A Novel Transfer Learning Approach Across Heterogeneous Datasets Authors: Arunavo Dey , Neil Antony , Aakash Raj Dhakal , Tapasya Patki , Aniruddha Marathe , Jae Seung Yeom , Tanzima Islam |
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FT2: First-Token-Inspired Online Fault Tolerance on Critical Layers for Generative Large Language Models Authors: Yu Sun , Zhu Zhu , Cherish Mulpuru , Roberto Gioiosa , Zhao Zhang , Bo Fang , Lishan Yang |
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Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE Authors: Jesun Sahariar Firoz , Franco Pellegrini , Mario Geiger , Darren Hsu , Jenna A. Bilbrey , Han-Yi Chou , Maximilian Stadler , Markus Hoehnerbach , Tingyu Wang , Dejun Lin , Emine Kucukbenli , Henry W. Sprueill , Ilyes Batatia , Sotiris S. Xantheas , MalSoon Lee , Chris Mundy , Gabor Csanyi , Justin S. Smith , Ponnuswamy Sadayappan , Sutanay Choudhury |
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3:00 PM - 3:30 PM
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Coffee Break |
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3:30 PM - 4:45 PM
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Storage SystemsSession Chair: TBA |
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TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System Authors: Zheng Wei , Jing Xing , Yida Gu , Wenjing Huang , Dong Dai , Guangming Tan , Dingwen Tao |
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AutoSSD: CXL-Enhanced Autonomous SSDs for Low Tail Latency Authors: Mingyao Shen , Suyash Mahar , Heewoo Kim , Joseph Izraelevitz , Steven Swanson |
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DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge Authors: Arjun Kashyap , Yuke Li , Xiaoyi Lu |
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6:00 PM - 9:00 PM
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Evening Posters and Reception in Duncan Student Center |
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The conference opening reception will be held in the Dahnke Ballroom on the 7th floor of the Duncan Student Center, overlooking the historic football stadium. (This is the same area as the conference main sessions.) A buffet dinner will be served, with meat, vegan, and gluten free options. The conference posters will be presented at this evening event, please use the opportunity to mingle and learn more. |
8:00 AM - 9:00 AM
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Registration in Duncan Student Center 7th Floor |
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9:00 AM - 10:00 AM
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Keynote : Physics-Aware, Full-Stack Software to Accelerate Practical Quantum ComputingAbstractQuantum software can be a force multiplier that can significantly shorten the timeline for utility-scale results from quantum hardware. In particular, several key research directions will help realize practical quantum advantage. Physics-aware, cross-layer optimizations will continue to yield important efficiencies to allow applications to make the most of quantum resources. Software-directed noise-aware optimization and error correction, in particular, will be key to increasing gate depths and maintaining acceptable output fidelity. Pulse-level optimizations and specialized native gates will also be key enablers. Additionally, applications will be hybrid computations involving high-performance classical resources as well as quantum hardware serving as special-purpose accelerators. Effectively partitioning computations between these classical and quantum resources will be necessary to support realistic applications. Additionally, deep compiler optimization and classical simulation of Clifford and near-Clifford circuits can also be important classical investments towards more efficient quantum computations. Finally, defining abstractions that control compiler complexity yet selectively expose key physical machine properties will also be a key area of research.
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Speaker: Fred Chong, University of Chicago
BiographyFred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist for Quantum Software at Infleqtion. Chong is a member of the National Quantum Advisory Committee (NQIAC) which provides advice to the President on the National Quantum Initiative Program. In 2020, he co-founded Super.tech, a quantum software company, which was acquired by Infleqtion (formerly ColdQuanta) in 2022. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a fellow of the ACM and the IEEE, a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 16 best paper awards. He is also a recipient of the Quantrell Award, the oldest undergraduate teaching award in the United States, as well as the University of Chicago's Graduate Teaching and Mentoring Award.Session Chair: Devesh Tiwari |
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10:00 AM - 10:30 AM
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Coffee Break |
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10:30 AM - 12:15 PM
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Efficiency and SustainabilitySession Chair: TBA |
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CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing Authors: Li Wu , Walid Hanafy , Abel Souza , Khai Nguyen , Jan Harkes , David Irwin , Mahadev Satyanarayanan , Prashant Shenoy |
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Advancing Scientific Data Compression via Cross-Field Prediction Authors: Youyuan Liu , Wenqi Jia , Taolue Yang , Jiang Bo , Miao Yin , Sian Jin |
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Parameterized Algorithms for Non-uniform All-to-all Authors: Ke Fan , Jens Domke , Seydou Ba , Sidharth Kumar |
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Top-Down SBP: Turning Graph Clustering Upside Down Authors: Frank Wanye , Vitaliy Gleyzer , Edward Kao , Wu-chun Feng |
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12:15 PM - 1:00 PM
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Lunch - Duncan Student Center |
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1:00 PM - 2:00 PM
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Industry TalkTalk #1: The HPC Revolution: Accelerating the Future of Science and AIAbstractHigh-Performance Computing (HPC) is not just a service we offer; it is part of Google's foundational DNA. This presentation explores the deep history of HPC within Google, from the early days of massive-scale indexing and distributed computing with technologies like MapReduce and Borg, to the sophisticated infrastructure that powers our global services today. We will trace this unique evolutionary path, demonstrating how decades of internal innovation in running planetary-scale workloads have directly informed the architecture and capabilities of Google Cloud's HPC offerings. Attendees will learn how this heritage translates into a robust and flexible cloud ecosystem designed to support the most demanding research challenges. Furthermore, we will delve into how Generative AI is revolutionizing the very methods of HPC development and management. We will discuss how services like Gemini Code Assist are accelerating the creation of complex simulation code and simplifying workflow scripting, while platforms like Google Colab provide an accessible environment for prototyping and analysis. Through real-world case studies in fields such as genomics and climate science, we will highlight how our infrastructure, now augmented by AI-powered tools, is empowering researchers to push the boundaries of discovery. Finally, we will look to the future, discussing how Google is continuing to democratize access to world-class HPC, fostering innovation, and helping the scientific community solve the grand challenges of tomorrow.![]()
Speaker: Charles Elliot, Google
BiographyCharles Elliott is a Head of Industry at Google Cloud, leading initiatives that transform education through the power of technology, particularly generative AI. Building on a successful consulting career focused on Big Data, Analytics, and AI, Charles now leverages his extensive expertise to guide educational institutions and ed-tech companies in realizing the potential of personalized learning at scale. With over 14 years of experience, he specializes in bridging cutting-edge cloud solutions with the specific needs of the education sector. As a trusted advisor, he empowers organizations to enhance learning experiences, improve accessibility, and drive measurable educational outcomes. His work spans early childhood education, machine learning applications, and strategic cloud implementation, with a focus on leveraging generative AI to unlock new possibilities in personalized learning. Charles continues to contribute to Google's Customer Advisory Boards, fostering innovation across the industry.Talk #2: TBA |
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2:00 PM - 3:00 PM
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Panel DiscussionChair: Peter Kogge, University of Notre Dame | |
3:00 PM - 3:30 PM
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Coffee Break |
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3:30 PM - 4:50 PM
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Clouds and FaaSSession Chair: TBA |
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F3: An FPGA-accelerated FaaS Framework Authors: Charalampos Mainas , Martin Lambeck , Bruno Scheufler , Laurent Bindschaedler , Atsushi Koshiba , Pramod Bhatotia |
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PathFence: Reducing Cross-Path Dependencies in Microservices Authors: Xuhang Gu , Qingyang Wang |
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FluidFaaS: A Dynamic Pipelined Solution for Serverless Computing with Strong Isolation-based GPU Sharing Authors: Xinning Hui , Yuanchao Xu , Xipeng Shen |
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6:00 PM - 9:30 PM
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Dinner Reception at Studebaker National Museum |
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Join us for an evening dinner reception at the Studebaker National Museum in downtown South Bend. Conference attendees will be free to explore the entire museum full of classic vehicles and exhibits of South Bend history. A buffet dinner will be served. |
8:00 AM - 9:00 AM
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Registration in Duncan Student Center 7th Floor |
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9:00 AM - 10:00 AM
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2025 HPDC Achievement Award Keynote : Designing for Trust, Transparency, and Efficiency in Scientific ComputingAbstractToday, scientific computing workflows are increasingly operating at scales where nondeterminism, opaque AI decisions, and rising energy demands are no longer exceptions—they have become the norm. In this talk, I will present the concrete methods we are using to address these challenges within the scientific discovery process. Specifically, I will demonstrate how graph-based analysis can reveal sources of nondeterminism in large High-Performance Computing (HPC) simulations, how fine-grained provenance frameworks can enhance transparency in AI-driven workflows, and how predictive engines can eliminate redundant computations in neural architecture search, thereby significantly reducing energy costs.Beyond individual solutions, I will outline a broader vision for computing that integrates data, experiments, and computation into comprehensive scientific ecosystems, exemplified by the National Science Data Fabric (NSDF). The talk will connect technical advancements to the larger goal of producing scientific results that are trustworthy, explainable, and efficiently generated at scale.
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Speaker: Michela Taufer, University of Tennessee, Knoxville
BiographyDr. Michela Taufer, an American Association for the Advancement of Science Fellow and Association for Computing Machinery Distinguished Scientist, holds the Jack Dongarra Professorship in High-Performance Computing (HPC) at the University of Tennessee, Knoxville. She earned her B.S. in Computer Engineering (University of Padova, Italy) and Ph.D. in Computer Science (ETH Zurich, Switzerland). A former postdoctoral fellow at the University of California, San Diego and The Scripps Research Institute, Dr. Taufer is dedicated to multidisciplinary research, connecting computational and experimental sciences. Her work focuses on designing HPC, cloud, and volunteer computing solutions, applying artificial intelligence/machine learning to scientific applications, and advancing algorithms and workflows with a solid commitment to reproducibility and transparency in research.Session Chair: Manish Parashar |
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10:00 AM - 10:30 AM
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Coffee Break |
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10:30 AM - 12:15 PM
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Tuning and PerformanceSession Chair: TBA |
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Grudon: A System for Deploying Graph Workloads on Disaggregated Architectures with Near-Data Processing Authors: Vishal Rao , Nikhil Ram Shashidhar , Ada Gavrilovska |
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HYPERF: End-to-End Autotuning Framework for High-Performance Computing Authors: Juseong Park , Yongwon Shin , Junghyun Lee , Junseo Lee , Juyeon Kim , Oh-Kyoung Kwon , Hyojin Sung |
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Privacy-preserving of HPC Traces for Data Sharing and Analysis Authors: Ana Luisa Veroneze Solórzano , Rohan Basu Roy , Devesh Tiwari , Benjamin Schwaller , Sara Petra Walton , Jim M. Brandt |
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Weight-Sharing NAS with Architecture-Agnostic Intermediate Representation Authors: Sixing Yu , Arya Mazaheri , Ali Jannesari |
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12:15 PM - 1:00 PM
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Lunch |
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1:00 PM - 2:30 PM
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Best Paper and Best Student Paper NomineesSession Chair: TBA |
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Out-of-Core Parallel Spatial Join Outperforming In-Memory Systems: A BFS-DFS Hybrid Approach Authors: Lyuheng Yuan , Da Yan , Akhlaque Ahmad , Jiao Han , Saugat Adhikari , Yang Zhou |
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IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications Authors: Zhuoxun Yang , Sheng Di , Longtao Zhang , Ruoyu Li , Ximiao Li , Jiajun Huang , Jinyang Liu , Franck Cappello , Kai Zhao |
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LegoIndex: A Scalable and Modular Indexing Framework for Efficient Analysis of Extreme-Scale Particle Data Authors: Chang Guo , Ning Yan , Lipeng Wan , Zhichao Cao |
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2:30 PM - 3:00 PM
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Awards and Closing RemarksHPDC 2026 Announcement Best Poster Award Best Student Paper Award Best Paper Award |