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ORCIDSC Workshops 2025: St. Louis, MO, USA
- Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2025, St Louis, MO, USA, November 16-21, 2025. ACM 2025, ISBN 979-8-4007-1871-7
AI4S: The 6th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
- Wesley Brewer
, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang:
Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. 1-10 - Tanzila Tabassum, Omer Subasi, Ajay Panyala, Epiya Ebiapia, Gerald Baumgartner, Erdal Mutlu, P. Sadayappan, Karol Kowalski:
Guiding Application Users via Estimation of Computational Resources for Massively Parallel Chemistry Computations. 11-19 - Justin Z. Tam, Pascal Grosset, Divya Banesh, Nesar Ramachandra, Terece L. Turton, James P. Ahrens:
InferA: A Smart Assistant for Cosmological Ensemble Data. 20-28 - Leslie A. Horace, Christin Whitton, Vanessa Job, William M. Jones, Nathan DeBardeleben:
Inverse Design for Generating Initial Conditions in Scientific Simulations. 29-36 - Kewei Yan, Yonghong Yan:
Applying Surrogate Modeling to Decouple Data Collection and Analysis from Simulation for Accelerated In-Situ Analysis. 37-44 - Pratik Dutta, Tirthankar Ghosal:
Compute4Biology: Taking Stock of High Performance Computing Needs for Foundation Models in Biological Sciences. 45-51 - Aditya Tanikanti, Benoît Côté, Yanfei Guo, Le Chen, Nicholaus Saint, Ryan Chard, Ken Raffenetti, Rajeev Thakur, Thomas D. Uram, Ian T. Foster, Michael E. Papka, Venkatram Vishwanath:
FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access. 52-60 - Aymen Alsaadi, Tianle Wang, Andrew Park, Pradeep Bajracharya, Linwei Wang, Fanbo Sun, Sudip Seal, Vikram Jadhao, Geoffrey C. Fox, Shantenu Jha:
ROSE: RADICAL Orchestrator for Surrogate Exploration. 61-70 - Austin Yunker, Weijian Zheng, Rajkumar Kettimuthu:
InferCT: An Efficient and Generalizable Framework to Enable 3D Machine Learning for Computed Tomography. 71-77 - Heng Ma, Alexander Brace, Carlo Siebenschuh, Ian T. Foster, Arvind Ramanathan:
LangChain-Parsl: Connect Large Language Model Agents to High Performance Computing Resource. 78-85 - Abhishek Dwaraki, Sreenivas Rangan Sukumar, Christopher D. Rickett, Clarete Riana Crasta, Harumi Kuno, Michael Neal, Pankaj Pandey, Ryan Yates, Karlon West, Amar Gopal Chittiboyina, Ikhlas A. Khan, John L. Byrne, Sekwon Lee, David Emberson:
A Query Engine for Scientific Data Exploration using Theory, Simulation, and Artificial Intelligence Models. 86-95 - Kazuyuki Yasuda, Masahito Kumagai, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi:
Classification of Three-dimensional Electron Diffraction Data with a Large Language Model. 96-103
CANOPIE-HPC: The 7th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC
- Angel M. Beltre, Jeff Ogden, Kevin Pedretti:
Experience Deploying Containerized GenAI Services at an HPC Center. 104-113 - Radostin Stoyanov, Viktória Spisaková, Adrian Reber, Wesley Armour, Marcin Copik, Rodrigo Bruno:
Engine-Agnostic Model Hot-Swapping for Cost-Effective LLM Inference. 114-125 - Brandon Cook, Shane Canon, Adam Lavely, Daniel Margala:
Seamless end-to-end containerized HPC environments. 126-134 - Vanessa V. Sochat, Daniel Milroy, Abhik Sarkar, Aniruddha Marathe, Tapasya Patki:
Usability Evaluation of Cloud for HPC Applications. 135-150 - Aditya Bhosale, Kavitha Chandrasekar, Laxmikant V. Kalé, Sara Kokkila Schumacher:
An elastic job scheduler for HPC applications on the cloud. 151-162 - Antony Chazapis, Lefteris Vassilakis, Giannis Petsis, Manolis Marazakis, Angelos Bilas:
Evaluating HPK for Running Cloud-Native Workloads on Slurm Clusters. 163-171 - Ali Kanso, Slava Oks, Mostafa Elzeiny, Gurpreet Virdi:
Towards Enabling Hostile Multi-tenancy in Kubernetes. 172-178
CORRECTNESS: 9th International Workshop on Software Correctness for HPC Applications
- Alexander Hück, Simon Schwitanski, Tim Jammer, Joachim Jenke, Yussur Mustafa Oraji, Christian H. Bischof:
Using Code Coverage to Assess Feature Gaps in MPI Correctness Tool Classification Tests. 179-187 - Yussur Mustafa Oraji, Simon Schwitanski, Semih Burak, Christian H. Bischof, Matthias S. Müller:
Coupling Static and Dynamic MPI Correctness Tools to Optimize Accuracy and Overhead. 188-197 - Jan Hückelheim, Vimarsh Sathia, Siyuan Brant Qian:
Data Race Detection through Vibe Translation. 198-206 - Jobayer Ahmmed, Quazi Ishtiaque Mahmud, Junhyung Shim, Liyi Li, Ali Jannesari, Myra B. Cohen:
Differential Testing for Sequential to Parallel Transformations. 207-216 - Esteban Miguel Rangel, S. John Pennycook:
Towards an Automated Workflow for Floating-Point Analysis of GPU Kernels. 217-224 - Yutong Wang, Cindy Rubio-González:
LLM4FP: LLM-Based Program Generation for Triggering Floating-Point Inconsistencies Across Compilers. 225-234 - Epifanio Sarinana, Christoph Lauter, Shirley Moore:
Exploring Reduced Precision for Deep Learning Activation Functions. 235-243 - Yussur Mustafa Oraji, Alexander Hück, Christian H. Bischof:
Extending MPI Correctness Benchmarking to the Fortran Language. 244-248
DRBSD-11: The 11th International Workshop on Data Analysis and Reduction for Big Scientific Data
- Connor Bohannon, Kazutomo Yoshii, Sheng Di, Franck Cappello, Antonino Miceli:
Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard. 249-258 - Ronald Pandolfi, Julian Todd, Jeffrey J. Donatelli, Daniela Ushizima:
ASCRIBE-XR: Extended Reality for Visualization of Scientific Images. 259-268 - Brandon Alexander Burtchell, Martin Burtscher:
Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs. 269-278 - Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Data Management System Analysis for Distributed Computing Workloads. 279-289 - Junghyun Ryu, Soon Hwang, Junhyeok Park, Seonghoon Ahn, Jeoungahn Park, Jeongjin Lee, Jinna Yang, Soonyeal Yang, Jungki Noh, Qing Zheng, Woosuk Chung, Hoshik Kim, Youngjae Kim:
Integrating Distributed SQL Query Engines with Object-Based Computational Storage. 290-299 - Andrew Rodriguez, Martin Burtscher:
On the Compressibility of Floating-Point Data in Posit and IEEE-754 Representation. 300-306 - Brandon Alexander Burtchell, Martin Burtscher:
Building n-Dimensional Trees for Resolution-Based Progressive Compression. 307-313 - Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello:
Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression. 314-323 - Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, Sheng Di:
Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion. 324-331 - Skyler Ruiter, Jiannan Tian, Fengguang Song:
FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines. 332-338 - Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang:
Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference. 339-348 - Cory Gardner, Seyun Jeong, Oam Khatavkar, Aiden Moon, Qinglei Cao, Tae-Hyuk Ahn:
Evaluating Accuracy and Performance Tradeoffs in GPU Accelerated Single Cell RNA-seq Analysis. 349-358
EduHPC-25: Workshop on Education for High-Performance Computing
- Lena Oden:
Hybrid GPU Programming Education with Python and C++: Preferences, Performance and Common Python Pitfalls. 359-366 - Erik Pautsch, Mengjiao Han, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Silvio Rizzi, George K. Thiruvathukal:
An Interactive Agentic HPC Tutor for Lesson Planning, Teaching, and Assessment. 367-375 - Vivek Kumar:
Teaching Task-Based Parallel Programming with a Runtime Systems-Aware Perspective. 376-383 - Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponnala, Azene Zenebe:
GPU Programming for AI Workflow Development on AWS SageMaker: An Instructional Approach. 384-392 - Fraida Fund, Kate Keahey, Cody Hammock, Marc Richardson, Mark Powers, Michael Sherman:
The Cost of Teaching Operational ML. 393-400 - William J. Allen, Kelsey M. Beavers, Erik S. Ferlanti, Lorenzo Concia, Joshua Urrutia, Ernesto A. B. F. Lima, John M. Fonner, Felix Zuo, H. E. Duplechin Seymour, Ari B. Kahn, Joe Stubbs, Anagha Jamthe, Stephanie N. Baker, Tabish Khan, James P. Carson:
A Model for Teaching Machine Learning, Deep Learning, and Research Computing to Domain Scientists on HPC Resources. 401-408 - Clara J. Almeida, Elizabeth Shoop, Diego García-Álvarez, Arturo González-Escribano, David Guerrero-Pantoja, Cameron Maloney, Maria Pantoja, Silvio Rizzi, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2025). 409-415 - Kateryna Bondar, Xavier Aragonès, Jordi Carrabina, Elly De Pelecijn, Antonio Miguel Espinosa, José Ignacio Gómez, Francesc Guim, Tomàs Margalef, Juan Carlos Moure, Luis Piñuel, Patrick Reynaert, Ivan Rodero:
Microcredentials for Open Hardware and HPC Workforce Development: The Openchip Approach with RISC-V Ecosystem. 416-423 - Anita Esmaeilian, Kishwar Ahmed:
From Soil to Software: Experience from a STEM Workshop on Smart Plant Care and Teachable Machines. 424-432 - Bryant M. Wyatt, Mason Bane:
"Offloading" Undergraduate Research to the Graphics Processing Unit for Acceleration. 433-438
EXAMPI: Workshop on Extreme Scale MPI
- Mike Söhner, Christoph Niethammer:
MPPI - Type safe C++ Datatypes for MPI. 439-448 - Amir Hossein Sojoodi, Mohammad Akbari, Hamed Sharifian, Ali Farazdaghi, Ryan E. Grant, Ahmad Afsahi:
Accelerating Intra-Node GPU Communication: A Performance Model for Multi-Path Transfers. 449-460 - James Buford White:
Large-Message All-to-All Communication at Frontier Scale. 461-467 - Thomas Erbesdobler, Amir Raoofy, Ehab Saleh, Josef Weidendorfer:
MPI Collectives with Programmable Smart Switches. 468-478 - Shannon Gayle Kinkead, Jackson Wesley, Whit Schonbein, David Debonis, Matthew G. F. Dosanjh, Amanda Bienz:
Scaling All-to-All Operations Across Emerging Many-Core Supercomputers. 479-488 - John Biddiscombe, Mikael Simberg, Auriane Reverdell, Raffaele Solcà, Alberto Invernizzi, Rocco Meli, Joseph Schuchart:
On the integration of lightweight tasks with MPI using the C++26 std: : execution 'Senders' API. 489-499
EXHETAI: The first International Workshop on Extreme Heterogeneity and AI Convergence in HPC
- Haoyu Zheng, Yifan Zeng, Linghao Song, Murali Emani, Wenqian Dong:
Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine. 500-507 - Tianyu Wang, Gourav Rattihalli, Aditya Dhakal, Xulong Tang, Dejan S. Milojicic:
WAGES: Workload-Aware GPU Sharing System for Energy-Efficient Serverless LLM Serving. 508-515 - Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang:
OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. 516-523 - Zheming Jin, Swaroop Pophale, Keita Teranishi:
Enhancing ChatPORT with CUDA-to-SYCL Kernel Translation Capability. 524-533
FGAI: Frontiers in Generative AI for HPC Science and Engineering: Foundations, Challenges, and Opportunities
- Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello, Sandeep Madireddy:
Evaluation of Test-Time Compute Constraints on Safety and Skill Large Reasoning Models. 534-539 - Daria Soboleva, Étienne Goffinet, Hui Zeng, Sangamesh Ragate, Elif Albuz, Natalia Vassilieva:
Batch Tiling on Attention: Efficient Mixture of Experts Training on Wafer-Scale Processors. 540-544 - Ozan Gökdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens:
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. 545-552 - Miguel Romero Rosas, Rudolf Eigenmann, Khaled Ibrahim:
Agentic AI vs ML-based Autotuning: A Comparative Study for Loop Reordering Optimization. 553-559 - Hongwei Jin, Kibaek Kim, Jonghwan Kwon:
GridMind: LLMs-Powered Agents for Power System Analysis and Operations. 560-568 - Rohan Marwaha, Qinren Zhou, Kastan Day, Asmita Dabholkar, Volodymyr V. Kindratenko:
Frameworks for Large Language Model Serving in HPC Environments. 569-574 - Seth Ockerman, Amal Gueroudji, Song Young Oh, Robert Underwood, Nicholas Chia, Kyle Chard, Robert B. Ross, Shivaram Venkataraman:
Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant. 575-581 - Houjun Tang, David McCallen:
EQSIM Agent: A Conversational AI for Interactive Exploration of Large-scale Earthquake Simulation Data. 582-587 - Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin:
Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving. 588-593 - Peng Ding, Thomas S. Brettin, Rick Stevens:
BioR5: A Three-Layer Architecture for Biological Reasoning in Scientific AI. 594-601 - Aaron Zachary Reed, Claudio Bisegni, Sandesh Shrestha, Michelle Huang, Daniel Ratner:
ChatEED: An agentic retrieval assistant for accelerator operators. 602-606 - Anurag Acharya, Anshu Kiran Sharma, Derek Parker, Timothy Vega, Rizwan A. Ashraf, Natalie M. Isenberg, Jan Strube, Robert Rallo:
LABMATE: Language Model Based Multi-Agent System to Accelerate Catalysis Experiments. 607-615
H2RC: Eleventh International Workshop on Heterogeneous High-performance Reconfigurable Computing
- Nick Brown, Gabriel Rodriguez-Canal:
Programmer productivity and performance on AMD's AI Engines: Offloading Fortran intrinsics via MLIR a case-study. 616-623 - Jonathan Strobl, Leonardo Solis-Vasquez, Yannick Lavan, Andreas Koch:
A Compute Graph Simulation and Implementation Framework Targeting AMD Versal AI Engines. 624-632 - David Volz, Torben Kalkhof, Andreas Koch:
SNAcc: An Open-Source Framework for Streaming-based Network-to-Storage Accelerators. 633-641 - Nick Song, Marion Sudvarg, Roger D. Chamberlain:
Connected-Component Labeling Using HLS for High-Energy Particle Physics Instruments. 642-650
HPCTESTS: Third International Workshop on HPC Testing and Evaluation of Systems, Tools, and Software
- Brian Homerding, Longfei Gao, Ben Lenard, Eric Pershey, Kevin Harms, Doug Waldron, Susan Coghlan, Bill Allcock, Ti Leggett, Balazs Gerofi, Tom Musta:
Aurora Acceptance: A Collaborative Exascale Test Harness. 651-661 - Nick Hagerty, Daniel Dietz:
Experiences Integrating Database Support into the OLCF Test Harness. 662-668 - Benjamin Wilfong, Anand Radhakrishnan, Henry Le Berre, Tanush Prathi, Stephen Abbott, Spencer H. Bryngelson:
Testing and Benchmarking Emerging Supercomputers via the MFC Flow Solver. 669-677 - Niccolò Tosato, Isac Pasianotto, Ruggero Lot, Stefano Cozzini:
Seeking Cost-Optimal Infrastructure Size for Distributed Filesystems: A Ceph Case Study. 678-687
HUST: 12th International Workshop on HPC User Support Tools
- Richie Tan, Guangzhen Jin:
A Modular, Responsive, and Accessible HPC Dashboard Built upon Open OnDemand. 688-696 - Masahiro Nakao, Keiji Yamamoto:
Open Composer: A Web-Based Application for Generating and Managing Batch Jobs on HPC Clusters. 697-704 - Andrii Kryvenko, Duy Pham, Marinus Pennings, Honggao Liu:
Is it an HPC Workflow Assistant? Is it a Framework? It's Drona Workflow Engine. 705-714 - Christina Joslin, David Burns, Fnu Ashish, Elham Sarbijan:
Generating Frequently Asked Questions from Technical Support Tickets using Large Language Models. 715-726 - Akhilesh Bondapalli, Huihuo Zheng, Oluwaseun T. Ajayi, Murat Keçeli, Haritha Siddabathuni Som, J. Taylor Childers, Lisa Childers, Yasaman Ghadar, Michael E. Papka, Venkatram Vishwanath, Rong Ge:
AskHPC: A ChatBot for High Performance Computing User Support. 727-739 - Surada Suwansathit, Ananya Adiki, Gabriel Floreslovo, Marinus Pennings, Honggao Liu:
ModuLair: Streamlining Python Virtual Environment Management for HPC. 740-749 - Georg Rath:
Dori: User Centered HPC for Data Intensive Computing. 750-756
IA3: 15th Workshop on Irregular Applications: Architectures and Algorithms
- Jacob Doney, Xin Huang, Chul-Ho Lee:
eIM: GPU-Accelerated Efficient Influence Maximization in Large-Scale Social Networks. 757-765 - Oded Green, Joe Eaton, Alok Tripathy, Corey Nolet, Justin Luitjens:
Generating Permutations at Scale. 766-774 - Joseph Wassell, Mohammad Zubair, Aaron Walden, Gabriel Nastac, Eric J. Nielsen, Timothée Ewart:
An Optimized Generalized Multi-Color Point Implicit Solver for Intel GPUs using OneAPI ESIMD. 775-783 - Bishal Sharma, Martin Burtscher:
Profiling Application-Specific Properties of Irregular Graph Algorithms on GPUs. 784-792 - Leonardo Solis-Vasquez, Andreas F. Tillack, Diogo Santos-Martins, Andreas Koch, Stefano Forli:
Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels. 793-803 - Oguz Selvitopi, Xiaoye S. Li, Aydin Buluç:
Performance-Portable Symbolic Factorization through Common Graph Operations. 804-812 - Avery Vanausdal, Martin Burtscher:
Comparing Graph Algorithm Styles on NVIDIA and AMD GPUs. 813-817 - Takaaki Miyajima, Leon Fukuoka:
Benchmarking the Cerebras Wafer Scale Engine-2 Architecture. 818-822 - Omid Asudeh, Sina Mahdipour Saravani, Fabrice Rastello, Gerald Sabin, Ponnuswamy Sadayappan:
How effective is matrix reordering for improving performance of sparse matrix-vector multiplication? 823-827
INDIS: 12th International Workshop on Innovating the Network for Data-Intensive Science
- Aaron Welch, Joel A. Dawson, Mariam Kiran:
Rapid Quantum Network Simulation Design with a Path to Scalable Execution. 828-833 - Flavio Castro, Weijian Zheng, Joaquin Chung, Ian T. Foster, Raj Kettimuthu:
To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions. 834-840 - Shashwitha Puttaswamy, Mariam Kiran:
From Path-Aware to Application-Aware Source Routing using Traffic Classes. 841-847 - Sankalpa Timilsina, Susmit Shannigrahi:
Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads. 848-853 - Anestis Dalgkitsis, Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso, Cees de Laat:
LLM-based Optimization Algorithm Selection for High-Performance Networks Orchestration. 854-859 - Ali Mazloum, Sergio Elizalde, Samia Choueiri, Elie F. Kfoury, Jose Gomez, Ali AlSabeh, Jorge Crichigno:
Optimizing Network Resilience Using Domain-Specific Hardware Accelerator for Dynamic Programming. 860-865 - Bjoern Sagstad, Nishanth Shyamkumar, Sophia Chen, Wesley Robert Ketchum, Roland Sipos, James B. Kowalkowski, Michael Wang, Nik Sultana:
Complex Parsing for In-Network Acceleration of High-Energy Physics Experiments. 866-874 - Inder Monga, Mazahir Hussain, Justas Balcas, Aashay Arora, Diego Davila, Buseung Cho, Xi Yang, Cees de Laat:
SENSE in Practice: Quantifying the End-to-End Benefits of Intent-Based Bandwidth Reservation for Exascale Science Workflows. 875-885 - Alex Batlle Casellas, Adrián Pérez Diéguez, Aleix Torres-Camps, Harris Teague, Arnau Padrés Masdemont, Jordi Ros-Giralt:
Scaling LLM Training Using RDMA over Converged Ethernet. 886-896 - Alexander Wolosewicz, Vinod Yegneswaran, Ashish Gehani, Nik Sultana:
Network Replay and Consistency Across Testbeds. 897-907 - Xinxin Mei, Jie Chen, Amitoj Singh, Ilya Baldin, David Lawrence:
eCounter: Inline Per-IP Network Monitoring at Millisecond Resolution via eBPF. 908-918 - Anna Giannakou, Jonathan Skone, Vinay Sawal, Ronal Kumar, Stephen Simms, Nicholas J. Wright, Lavanya Ramakrishnan:
Implementing Network-level QoS at HPC Datacenters to Enable Distributed Scientific Workflows. 919-928 - Seena Vazifedunn, Flavio Castro, Rajkumar Kettimuthu, Ian T. Foster, Kyle Chard:
StreamHub: High-performance Managed SciStream as a Service. 929-938 - Rasman Mubtasim Swargo, Engin Arslan, Md. Arifuzzaman:
Modular Architecture for High-Performance and Low Overhead Data Transfers. 939-948 - Anjus George, Michael J. Brim, Christopher Zimmer, David M. Rogers, Sarp Oral, Zach Mayes:
From Edge to HPC: Investigating Cross-Facility Data Streaming Architectures. 949-959
IPDRM: 7th Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware
- Zackary Savoie, Anthony Sicoie, Ryan Eric Grant:
SmartNIC Data Exchange Framework. 960-967 - Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Error Analysis of Globally Distributed Workflow Management System. 968-976 - Goutham Kalikrishna Reddy Kuncham, Siyuan Zhang, Shoaib Mohammad, Chen-Chun Chen, Dhabaleswar K. Panda:
MPI Communication Performance on AMD MI300A: Microbenchmarks and Applications. 977-984
ISAV: In Situ AI, Analysis and Visualization
- Harikrishna Tummalapalli, Riccardo Balin, Christine M. Simpson, Andrew Park, Aymen Alsaadi, Andrew E. Shao, Wesley Brewer, Shantenu Jha:
In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns. 985-996 - Pavana Prakash, Rolando P. Hong Enriquez, Sergey Serebryakov, David Grant, Wesley Brewer, Dejan S. Milojicic:
From Exploration to Explanation: ML-Driven Causal Discovery for Datacenter Reliability at Scale. 997-1002 - Caitlin Ross, Scott Wittenburg, Greg Eisenhauer, Corey Wetterer-Nelson:
A Data-Size Adaptive Approach to I/O of Poorly Load Balanced In Situ Data Extracts. 1003-1008
LLVM-HPC: The Eleventh Annual Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC'25)
- Arne Hendricks:
Lessons Learned: Template-Heavy C++ in Production HPC Runtime Systems. 1009-1016 - Konstantinos Sotiropoulos, Jonas Skeppstedt, Per Stenström:
ASaP: Automatic Software Prefetching for Sparse Tensor Computations in MLIR. 1017-1027 - Dominik Adamski, Sergio Afonso, Akash Banerjee, Pranav Bhandarkar, Kareem Ergawy, Andrew Gozillon, Michael Klemm, Jan Leyonberg, Dan Palermo:
Implementing OpenMP Offload Support in the AMD Next Generation Fortran Compiler. 1028-1038 - Tanmay Tirpankar, Cayden Lund, Ganesh Gopalakrishnan:
CIRE: LLVM Analysis for Floating-Point Rounding Error Affected by Precision and Optimizations. 1039-1047 - Dan Bonachea, Katherine Rasmussen, Damian W. I. Rouson, Jean-Didier Pailleux, Etienne Renault, Brad Richardson:
Lowering and Runtime Support for Fortran's Multi-Image Parallel Features using LLVM Flang, PRIF, and Caffeine. 1048-1056 - Andrew Osterhout, Ignacio Laguna, Ganesh Gopalakrishnan:
Scabbard: LLVM Instrumentation-aided Race Checking in CPU/GPU Unified Memory for AMD GPUs. 1057-1065 - Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert:
Dynamic Thread Coarsening for CPU and GPU OpenMP Code. 1066-1074 - Michael Beebe, Benjamin Michalowicz, Andrew McNamara, Yash Kumar, Dhabaleswar K. Panda, Yong Chen, Wendy Poole, Steve Poole:
OpenSHMEM MLIR: A Dialect for Compile-Time Optimization of One-Sided Communications. 1075-1087 - Miheer Vaidya, Shreya Singh, Devanshu Mantri, Michael Shannon Eydenberg, Brian Michael Kelley, Sivasankaran Rajamanickam, Atanas Rountev, P. Sadayappan:
Distributed Sparse Tensor Computations in MLIR. 1088-1095 - Gabriel Rodriguez-Canal, David Katz, Nick Brown:
An MLIR pipeline for offloading Fortran to FPGAs via OpenMP. 1096-1103
MEMO: International Workshop on Memory System, Management and Optimization
- Kristi Belcher, David Beckingsale:
Umpire: Portable Memory Management for High-Performance Computing Applications. 1104-1109 - Andrew Tee, Nicholas Curtis, Noah Wolfe, Daniel Wong:
The MALL is Open: Exploring Shared Caches and Latency in AMD CDNA™ 3 GPUs. 1110-1116 - Brian R. Tauro, Ian Dougherty, Kyle C. Hale:
CaRDS: Compiler-aided Remote Data Structures. 1117-1125 - Eric Tang, Tianyun Zhang, William Bradford, Farzana Ahmed Siddique, James C. Hoe, Kevin Skadron, Franz Franchetti:
Hardware-Software Co-Design of Iterative Filter-Update Numerical Methods Using Processing-In-Memory. 1126-1132
P3HPC: International Workshop on Performance, Portability & Productivity in HPC
- Sreeram Venkat, Kasia Swirydowicz, Noah Wolfe, Omar Ghattas:
Mixed-Precision Performance Portability of FFT-Based GPU-Accelerated Algorithms for Block-Triangular Toeplitz Matrices. 1133-1146 - Gabriel Suau, Thierry Gautier, Ansar Calloo, Rémi Baron, Romain Le Tellier:
Performance portable batched linear algebra kernels for transport sweeps using Kokkos. 1147-1158 - John Bowen, Konstantinos Parasyris, David Beckingsale, Tal Ben-Nun, Thomas Stitt, Giorgis Georgakoudis:
Extending RAJA Parallel Programming Abstractions with Just-In-Time Optimization. 1159-1171 - Nigel Phillip Tan, Scott V. Luedtke, Michela Taufer, Brian J. Albright:
Bridging Performance Portability and Scalability for Plasma Simulations on Heterogeneous Systems. 1172-1182 - Ayman Bourramouss el Maach, Adrian Munera, Sara Royuela:
Energy-aware performance portability with OpenMP dynamic variants. 1183-1195 - Esteban Miguel Rangel, Humza Qureshi:
Preserving CUDA Syntax for SYCL Portability: A Thin C++ Abstraction without Kernel Migration. 1196-1204 - Oscar Antepara, Leonid Oliker, Samuel Williams:
Roofline Analysis of Tightly-Coupled CPU-GPU Superchips: A Study on MI300A and GH200. 1205-1216 - Anders Johansson, Evan Weinberg, Christian Trott, Megan J. McCarthy, Stan G. Moore:
LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures. 1217-1232 - Yuuichi Asahi, Trévis Morvany, Thomas Padioleau, Julien Bigot:
Development of a performance portable distributed FFT interface on top of the Kokkos ecosystem. 1233-1242
PAW-ATM: Parallel Applications Workshop, Alternatives to MPI+X
- Alexander Fell, Yuqing Wang, Tianshuo Su, Marziyeh Nourian, Wenyi Wang, Jose M. Monsalve Diaz, Andronicus Samsundar Rajasukumar, Jiya Su, Ruiqi Xu, Rajat Khandelwal, Tianchi Zhang, David F. Gleich, Yanjing Li, Hank Hoffmann, Andrew A. Chien:
KVMSR+UDWeave: Extreme-Scaling with Fine-grained Parallelism on the UpDown Graph Supercomputer. 1243-1262 - Michael P. Ferguson, Ryan D. Friese, Shreyas Khandekar, Matt Drozt:
Comparing Distributed-Memory Programming Frameworks with Radix Sort. 1263-1275 - Benjamin Brock, Renato Golin:
Slicing Is All You Need: Towards A Universal One-Sided Algorithm for Distributed Matrix Multiplication. 1276-1288 - Baodi Shan, Mauricio Araya-Polo, Barbara M. Chapman:
DiOMP-Offloading: Toward Portable Distributed Heterogeneous OpenMP. 1289-1301 - Andrew Davis, Hans Johansen, Xinfeng Gao, Stephen M. Guzik:
Weak Scaling of NVSHMEM Applied To Hashed Distributed Structured Data. 1302-1313 - Mahesh Doijade, Andrey Alekseenko, Ania Brown, Alan Gray, Szilárd Páll:
Redesigning GROMACS Halo Exchange: Improving Strong Scaling with GPU-initiated NVSHMEM. 1314-1329 - S. Davis Herring, Maxim Moraru, Scott Pakin, Julien Loiseau, Richard Berger, Philipp V. F. Edelmann, Ben Bergen:
Enhancing HPX with FleCSI: Automatic Detection of Implicit Task Dependencies. 1330-1340 - Mia Reitz, Jonas Posner:
Stackless vs. Stackful Coroutines: A Comparative Study for RDMA-based Asynchronous Many-Task (AMT) Runtimes. 1341-1350 - David Kai Zhang, Rohan Yadav, Alex Aiken, Fredrik Kjolstad, Sean Treichler:
KDRSolvers: Scalable, Flexible, Task-Oriented Krylov Solvers. 1351-1365
PDSW: 10th International Parallel Data Systems Workshop
- Minqiu Sun, Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato, Dong Dai:
LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models. 1366-1374 - Sangyun Lee, Sungjin Byeon, Soon Hwang, Jaewan Park, Jooyoung Hwang, Junyoung Han, Javier González, Awais Khan, Youngjae Kim:
SlimIO: Lightweight I/O Path Design for Write Isolation in FDP-backed In-Memory Databases. 1375-1384 - Youjia Li, Robert Latham, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Parallel Data Object Creation: Scalable Metadata Management in Parallel I/O Library. 1385-1395 - Hammad Bin Ather, Chen Wang, Hariharan Devarajan, Hank Childs, Kathryn M. Mohror:
SmartIO: A Lightweight End-to-End Workflow for Runtime I/O Optimization of HPC Systems. 1396-1405 - Jiaxin Dong, Md. Hasanur Rashid, Helen Xu, Dong Dai:
RL4Sys: A Lightweight System-driven RL Framework for Drop-in Integration in System Optimization. 1406-1414 - Meng Tang, Zhaobin Zhu, Luanzheng Guo, James G. Bandy, Tim Carlson, Sarah Neuwirth, Anthony Kougkas, Xian-He Sun, Nathan R. Tallent:
Quantifying AWS S3 I/O Performance Boundaries Using the Roofline Model. 1415-1423 - Qing Zheng, Brian Atkinson, Jason Lee, Daoce Wang, Gary Grider:
Secure In-Storage Execution of VTK Workloads on Modern Parallel NFS Data Servers. 1424-1432
PMBS: The 16th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computer Systems (PMBS 2025)
- Johannes Langguth, James D. Trotter, Xing Cai:
Modelling Load Imbalance In Shared Memory Multicore Systems. 1433-1441 - Rohini Uma-Vaideswaran, Joshua Romero, Daniel L. Dotson, David Appelhans, P. K. Yeung:
A Peak Performance Model for All-to-all on Hierarchical Systems and Its Applications. 1442-1451 - Jesse McDonald, Yick Ching Wong, Kshitij Mehta, Frédéric Suter, Rafael Ferreira da Silva, Loic Pottier, Ewa Deelman, Henri Casanova:
Determining Levels of Detail for Simulators of Parallel and Distributed Computing Systems via Automated Calibration. 1452-1463 - Si Chen, Simon Garcia de Gonzalo, Omar Aaziz, Jeanine E. Cook, Avani Wildani:
Beyond Guess and Check: Quantifying the Fidelity of Proxy Applications. 1464-1477 - Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. 1478-1483 - Kunal Pai, Mahyar Samani, Anusheel Nand, Jason Lowe-Power:
Implications of Full-System Modeling for Superconducting Architectures. 1484-1490 - Sayef Azad Sakin, James P. Ahrens:
PerfAnalyzer: Revealing Performance Trends using Version Oriented Visual Analysis of Scientific Software. 1491-1495 - Zadok Storkey, Steven A. Wright, Ian Gray:
Experiences of Porting Structured and Unstructured Stencil Applications to FPGA using SYCL. 1496-1501 - Krishna Teja Chitty-Venkata, Sylvia Howland, Golara Azar, Daria Soboleva, Natalia Vassilieva, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath:
MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision Models. 1502-1511 - Adrián Pérez Diéguez, Alex Batlle Casellas, Aleix Torres-Camps, Harris Teague, Jordi Ros-Giralt:
Pretraining LLMs at Scale: Tuning Strategies and Performance Portability. 1512-1523 - Mariana Toledo Costa, Antigoni Georgiadou, James B. White, Bruno Villasenor Alvarez, Jordà Polo, Woong Shin, Philippe Olivier Alexandre Navaux, Bronson Messer, Arthur Francisco Lorenzon:
Characterizing the Impact of GPU Power Management on an Exascale System. 1524-1533 - Julius Lehner, Eishi Arima, Martin Schulz:
A GPU FFT Wrapper to Co-optimize Floating-Point Precision and Library Selection via Predictive Error Modeling. 1534-1543 - Edvin Mellberg, Axel Carlsson, Jing Chen, Miquel Pericàs:
ILAN: The Interference- and Locality-Aware NUMA Scheduler. 1544-1553 - Amirreza Rastegari, Prabhat Ram, Michael F. Ringenburg:
On the Performance and Scalability of Cloud Supercomputers: Insights from Eagle and Reindeer. 1554-1563
ProTools: 7th Workshop on Programming and Performance Visualization Tools
- Chao Jin, David Abramson, Mo'ath Qutaish, Mark Endrei, Bronis R. de Supinski:
A Cache Interaction Graph for Data Locality Optimization. 1564-1573 - Stepan Vanecek, Manuel Walter Mußbacher, Dominik Größler, Urvij Saroliya, Martin Schulz:
MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies. 1574-1586 - Ahmad Tarraf, Alexander Geiß, Lukas Fuchs, Felix Wolf:
Fantastic Hardware Counters and How to Find Them: Automating the Detection of Noise-Resilient Performance Counters in HPC. 1587-1600 - Nathan Nichols, Thomas Applencourt:
Extending THAPI with CXI Hardware Counter Sampling for High Resolution NIC Telemetry. 1601-1610 - Jered Dominguez-Trujillo, Derek Schafer, Riley Shipley, Ryan J. Marshall, Nicholas H. Bacon, Maxim Moraru, Galen M. Shipman, Anthony Skjellum, Patrick G. Bridges:
Scalable, High-Fidelity Monitoring of Application Communication Patterns in Vernier. 1611-1623 - Yuheng Chen, Junjie Li, Chun-Yaung Lu, Yinzhi Wang:
PEAK: Cost-Adaptive Profiling in a Heartbeat. 1624-1633
RESDIS: 5th International Workshop on RESource DISaggregation in High-Performance Computing
- Yuang Yan, Ryan E. Grant:
Fast on-demand Memory Mapping for Shared Memory and Disaggregated Systems. 1634-1642 - William Shaddix, Mahyar Samani, Jason Lowe-Power, Venkatesh Akella:
TEGRA - Scaling Up Graph Processing with Disaggregated Computing. 1643-1649 - Yu Zhu, Aditya Dhakal, Pedro Bruel, Gourav Rattihalli, Yunming Xiao, Johann Lombardi, Dejan S. Milojicic:
An RDMA-First Object Storage System with SmartNIC Offload. 1650-1657 - Kyuli Park, Sungmin Yoon, Farid Talibli, Sungyong Park, Jae-Hyuck Kwak, Kimoon Jeong, Awais Khan, Youngjae Kim:
DoCeph: DPU-Offloaded Messaging in Ceph for Reduced Host CPU Utilization. 1658-1666
RISCV-HPC: International workshop on RISC-V for HPC
- Wiktor Jan Szczerek, Artur Podobas:
IzhiRISC-V - a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons. 1667-1675 - Hung-Ming Lai, Pei-Hung Lin, Maya B. Gokhale, Ivy Peng, Hiren D. Patel, Jenq-Kuen Lee:
RISC-V Vectorization Coverage for HPC: A TSVC-Based Analysis. 1676-1683 - Yunhao Lan, Larry Tang, Naifeng Zhang, Youngjin Eum, James C. Hoe, Franz Franchetti:
A RISC-V Vector Extension for Multi-word Arithmetic. 1684-1693 - Petar Andric, Ramon Nou, Aaron Call, Guillem Senabre:
Enabling the syscall_intercept library for RISC-V. 1694-1702 - Nick Brown:
Is RISC-V ready for High Performance Computing? An evaluation of the Sophon SG2044. 1703-1711 - Atanu Barai, Kamalavasan Kamalakkannan, Patrick Diehl, Maxim Moraru, Jered Dominguez-Trujillo, Howard Pritchard, Nandakishore Santhi, Farzad Fatollahi-Fard, Galen M. Shipman:
Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation. 1712-1722 - Cameron Durbin, Jacob Flores, Thomas Weatherly, Ben Feinberg:
Simulating Hybrid Analog + RISC-V Systems for HPC Applications. 1723-1728 - Jenny Lynn Almerol, Elisabetta Boella, Mario Spera, Daniele Gregori:
Accelerating Gravitational N-Body Simulations Using the RISC-V-Based Tenstorrent Wormhole. 1729-1735 - Andrew Ledbetter, Kazutomo Yoshii, John R. Tramm:
Assessing a RISC-V Accelerator for Cross-Section Lookup in Chipyard. 1736-1742 - Cheng-Hsun Angus He, Ronak Chauhan, James A. Kupsch, Hsuan-Heng Wu, Barton P. Miller:
Dyninst on the RISC-V: Binary Instrumentation in Support of Performance, Debugging, and Other Tools. 1743-1750
ROSS: 14th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2025)
- Ian Henriksen, Jan Ciesko, Stephen L. Olivier:
Extending the C++ Execution Control Library to Support Dynamic Parallel Runtime Systems. 1751-1761 - Shaochang Liu, Jie Ren:
Assessing Page Reclamation Mechanisms for Linux. 1762-1769 - Christoffer Persson, Mathias Pretot, Minyu Cui, Miquel Pericàs:
Reproducible Performance Evaluation of OpenMP and SYCL Workloads under Noise Injection. 1770-1778
ScalAH: 16th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems
- Viktoria Mayer, Wilfried N. Gansterer:
Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods. 1779-1789 - Quentin R. Petit, Chong Li, Nahid Emad, Jack J. Dongarra:
Efficient Embedding Initialization via Dominant Eigenvector Projections. 1790-1799 - Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha I. Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov:
Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. 1800-1807 - Andrew J. Higgins, Erik G. Boman, Ichitaro Yamazaki:
A High Performance GPU CountSketch Implementation and Its Application to Multisketching and Least Squares Problems. 1808-1815 - Maxence Vandromme, Miwako Tsuji:
Post-Variational Quantum Neural Networks on a Hybrid HPC-QC System. 1816-1823 - Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura:
High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines. 1824-1831 - François-Xavier Mordant, Charles Prouveur, Pascal Tremblin, Nicolas Gac:
Scalable Hydrodynamics on multiple Field-Programmable Gate Arrays (FPGAs). 1832-1841
SFWM: The 1st International Workshop for Software Frameworks and Workload Management on Quantum and HPC Ecosystems
- Eric Mansfield, Stefan Seegerer, Panu T. Vesanen, Jorge Echavarria, Muhammad Nufail Farooqi, Burak Mete, Laura Brandon Schulz:
First Practical Experiences Integrating Quantum Computers with HPC Resources: A Case Study With a 20-qubit Superconducting Quantum Computer. 1842-1850 - Waylon Luo, Cheng-Chang Lu, Tong Zhan, Qiang Guan:
A Simulation Framework for Workload Management in Hybrid Quantum-HPC Cloud System. 1851-1859 - Stefano Markidis, Gilbert Netzer, Luca Pennati, Ivy Peng:
An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer. 1860-1867 - Jorge Echavarria, Muhammad Nufail Farooqi, Amit Devra, Santana Lujan, Léo Van Damme, Hossam Ahmed, Martín Letras, Ercüment Kaya, Adrian Vetter, Max Werninghaus, Martin Knudsen, Felix Rohde, Albert Frisch, Eric Mansfield, Rakhim Davletkaliyev, Vladimir Kukushkin, Noora Färkkilä, Janne Mäntylä, Nikolas Pomplun, Andreas Spörl, Lukas Burgholzer, Yannick Stade, Robert Wille, Laura Brandon Schulz, Martin Schulz:
Tackling the Challenges of Adding Pulse-level Support to a Heterogeneous HPCQC Software Stack: MQSS Pulse. 1868-1878 - Aleksander Wennersteen, Matthieu Moreau, Aurelien Nober, Mourad Beji:
Towards a user-centric HPC-QC environment. 1879-1887 - Srikar Chundury, Amir Shehata, Seongmin Kim, Muralikrishnan Gopalakrishnan Meena, Chao Lu, Kalyana C. Gottiparthi, Eduardo Antonio Coello Pérez, Frank Mueller, In-Saeng Suh:
Scaling Hybrid Quantum-HPC Applications with the Quantum Framework. 1888-1897 - Mar Tejedor, Berta Casas, Javier Conejero, Alba Cervera-Lierta, Rosa M. Badia:
Orchestrating Quantum-HPC Workflows with Distributed Quantum Circuit Cutting. 1898-1906 - Yannick Stade, Lukas Burgholzer, Robert Wille:
Towards Supporting QIR: Steps for Adopting the Quantum Intermediate Representation. 1907-1915 - Manu Chaudhary, Kareem El-Araby, Md. Alvir Islam Nobel, S. M. Ishraq Ul Islam, Manish Singh, Sunday Ogundele, Kieran F. Egan, Sneha Thomas, Vincent Vordtriede, Devon Bontrager, Serom Kim, Esam El-Araby:
A Practical Quantum Solver for Multidimensional Partial Differential Equations. 1916-1925
S-HPC: Fourth Annual Workshop on Cyber Security in High Performance Computing (S-HPC'25)
- Glenn Song, Michael Scot Breitenfeld, Suren Byna:
Securing HDF5 Plugins with Digital Signatures. 1926-1933 - Keegan Sanchez, Suren Byna, Zhiqiang Lin, David Mattson:
CASSE: Targeted Threat Modeling for Data Management Libraries. 1934-1942 - Phuong M. Cao, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Dynamic Factor Graphs for Attack Preemption. 1943-1950 - Robert Keßler, Lech Nieroda, Simon Volpert, Moritz Gräf, Viktor Achter, Laslo Hunhold, Stefan Wesner:
Evaluating Trusted Execution Environment Performance for Genome Sequence Alignment: An AMD SEV Case Study. 1951-1958
SSW: Sustainable Supercomputing Workshop
- Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Rashadul Kabir, Kevin Menear, Dmitry Duplyakin, Tapasya Patki, Terry R. Jones, Feiyi Wang:
HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. 1959-1969 - Gabriel Hautreux, Abdoulaye Gamatié, Gilles Sassatelli:
Run-time Energy-Efficiency Optimization for AI and HPC Workloads. 1970-1979 - Robin Boëzennec, Fanny Dufossé, Guillaume Pallez, Alix Tremodeux:
Improving Supercomputer Usage with Aging Awareness. 1980-1989 - Julius Irion, Philipp Wiesner, Jonathan Bader, Odej Kao:
Optimizing Microgrid Composition for Sustainable Data Centers. 1990-1996 - Kevin Menear, Alex Wilkinson, Tim Dykes, Utz-Uwe Haus, Dmitry Duplyakin:
Energy-Aware HPC Scheduling with LLM-Based Power Prediction. 1997-2006 - Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jordà Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer:
Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. 2007-2016 - Matthew Anderson, Daniel Yankura, Matthew Sgambati, Mauricio Tano Retamales:
Molten Chloride Small Modular Reactor Performance Characteristics for Data Center Operation. 2017-2021 - Hasibul Jamil, Md. S. Q. Zulkar Nine, Tevfik Kosar:
EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training. 2022-2031 - Varsha Rao, Andrew A. Chien:
Modeling the Carbon Footprint of HPC: The Top 500 and EasyC. 2032-2040 - Roblex Nana Tchakoute, Claude Tadonki:
EAS-Sim: A Framework and its Methodology for the Co-Design of Multi-Objective, Energy-Aware Schedulers for AI Clusters. 2041-2050
WACCPD: Twelfth Workshop on Accelerator Programming and Directives
- Etienne Malaboeuf, Kevin Obrejan, Mathieu Peybernes, Julien Bigot, Emily Bourne, Virginie Grandgirard:
Porting a Fortran plasma simulation to Exascale on AMD GPUs using both OpenMP and Kokkos. 2051-2067 - Michele Martinelli, Carlotta Chiarini, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pierpaolo Perticaroli, Francesco Simula, Luca Pontisso, Cristian Rossi, Piero Vicini:
Bridging FPGA and GPU over PCIe: A Low-Latency Communication Path using AVX-512. 2068-2076 - Kaan Olgu, Tobias Kenter, José L. Núñez-Yáñez, Simon McIntosh-Smith, Tom Deakin:
Towards Efficient Load Balancing BFS on GPUs: One Code for AMD, Intel & Nvidia. 2077-2087 - Fernando Vázquez-Novoa, Pedro López, José Flich, Rosa M. Badia:
Scalable Neural Network Training: Distributed Data-Parallel Approaches. 2088-2099 - Richard Schulze, Sergei Gorlatch, Ari Rasch:
Reduction-Aware Directive-Based Programming via Multi-Dimensional Homomorphisms. 2100-2113 - William F. Godoy, Tatiana Melnichenko, Pedro Valero-Lara, Wael R. Elwasif, Philip W. Fackler, Rafael Ferreira da Silva, Keita Teranishi, Jeffrey S. Vetter:
Mojo: MLIR-based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem. 2114-2128 - Zheming Jin:
A Study of Performance Portability of Low-bit Fused Matrix-Vector Multiplication Kernels in SYCL. 2129-2136
WIUHPC: Sixth Combined Workshop on Interactive and Urgent High-Performance Computing
- Shohei Minami, Toshio Endo, Akihiro Nomura, Hiroki Ohtsuji, Jun Kato, Masahiro Miwa, Eiji Yoshida:
Physical System Study on Balancing Interactive and Batch Job Performance through Oversubscribing Scheduling. 2137-2145 - Jay McGlothlin, Christopher D. Carothers:
Implementing support for Interactive and AI workloads in a traditional HPC environment. 2146-2150 - Ketan Maheshwari, Anderson Borch, Jordan Webb, Brian Etz, Ross Miller, Frédéric Suter, Sarp Oral, Rafael Ferreira da Silva:
Evaluating HPC Scheduling Strategies for Urgent Workloads. 2151-2160 - Ye Htet, Marion Sudvarg, Honghao Yang, Jeremy Buhler, Roger D. Chamberlain, James H. Buckley:
Modeling and Optimizing Real-Time Telescope Interaction for Multi-wavelength Observation of Gamma-ray Bursts. 2161-2168
WORKS: 20th Workshop on Workflows in Support of Large-Scale Science
- Jason Chamorro, Gabriel Twigg-Ho, Jared Coleman, Tainã Coleman, Bhaskar Krishnamachari, Mohammadali Khodabandehlou:
Adapting Classic Scheduling Heuristics for Online Execution under Uncertainty. 2169-2180 - Jake Gwinn, Justin M. Wozniak, Rajeev Jain, Yitan Zhu, Alexander Partin, Thomas S. Brettin, Rick Stevens:
A Workflow for Error Analysis for Drug Response Prediction via Statistical Standardization and Distribution Analysis. 2181-2189 - Hongwei Jin, Pawel Zuk, Krishnan Raghavan, Prachi Jadhav, Aiden Hamade, Ewa Deelman, Prasanna Balaprakash:
Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems. 2190-2200 - Rounak Meyur, Sam Donald, Tonya J. Martin, Thiagarajan Ramachandran, Sumit Purohit:
CAMEO: A Co-design Architecture for Multi-objective Energy System Optimization. 2201-2212 - Dante D. Sánchez-Gallegos, José Luis González Compeán, Jesús Carretero, Raffaele Montella:
DAGonStore: Reliable Data Management for Workflows on the Computing Continuum with DynoStore and DAGonStar. 2213-2224 - Orcun Yildiz, Tom Peterka:
Do Large Language Models Speak Scientific Workflows? 2225-2233 - Prachi Jadhav, Hongwei Jin, Ewa Deelman, Prasanna Balaprakash:
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling. 2234-2244 - André Merzky, Mikhail Titov, Matteo Turilli, Shantenu Jha:
Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads. 2245-2256 - Renan Souza, Timothy Poteet, Brian Etz, Daniel Rosendo, Amal Gueroudji, Woong Shin, Prasanna Balaprakash, Rafael Ferreira da Silva:
LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology. 2257-2268 - Marco Edoardo Santimaria, Rosa Filgueira, Doriana Medic, Iacopo Colonnelli, Marco Aldinucci:
Overcoming Dynamic I/O Boundaries: a Double-Sided Streaming Methodology with dispel4py and CAPIO. 2269-2280 - Amal Gueroudji, Matthieu Dorier, Philip H. Carns, Parth Patel, Tekin Bicer, Robert Latham, Robert B. Ross, Kyle Chard, Ian T. Foster:
RESILIO : A Scalable and Composable Architecture for Tomographic Reconstruction Workflows. 2281-2292 - Vanessa V. Sochat, Loïc Pottier, Daniel Milroy:
State Machine Orchestration of an HPC Workflow in Cloud. 2293-2304 - Woong Shin, Renan Souza, Daniel Rosendo, Frédéric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva:
The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science. 2305-2316
XLOOP: The 7th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing
- Liubov Kurafeeva, Alan Subedi, Ryan Hartung, Michael Fay, Avhishek Biswas, Shantenu Jha, Ozgur O. Kilic, Chandra Krintz, André Merzky, Douglas Thain, Mehmet C. Vuran, Rich Wolski:
xGFabric: Coupling Sensor Networks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digital Agriculture. 2317-2327 - David Abramov, Samuel S. Welborn, Ryan Chard, Kuldeep Chawla, Xiaoya Chong, Elizabeth Clark, Bjoern Enders, Alexander Hexemer, Jason Jed, Wiebke Koepp, Harinarayan Krishnan, Seij De Leon, Dilworth Parkinson, David Perlmutter, Raja Vyshnavi Sriramoju, Thomas D. Uram, Lee Lisheng Yang, Dylan McReynolds:
Accelerating Advanced Light Source Science Through Multi-Facility HPC Workflows. 2328-2335 - Sinisa Veseli, John Hammonds, Steven Henke, Madeline Miller, Hannah Parraga, Ilya Baldin, Derek Howard, Yatish Kumar, Nicholas Schwarz:
Streaming X-ray Detector Data to Remote Facilities Using EJFAT. 2336-2346 - Samantha Fowler, Kazutomo Yoshii, Antonino Miceli, Senthil Gnanasekaran, Tao Zhou, Nicholas Contini:
Adapting scientific streaming inference workflows for a deterministic tensor processing unit. 2347-2353 - Daniel Rosendo, Stephen DeWitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall T. McDonnell, Ross Miller, Tyler J. Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva:
AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. 2354-2361 - Zirui Gao, Seher Karakuzu, Dmitri Gavrilov, Daniel B. Allan, Adam Thompson, Denis Leshchev, Hanfei Yan:
X-ray Ptychography at the Edge: Towards Real-Time Feedback for High-Speed Nanoimaging. 2362-2368
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