July 2026 - hpc-announce - mailman3.cels.anl.gov

AI4S Workshop at SC26
by Murali Emani 04 Aug '26

04 Aug '26

========================================================== [AI4S]: The 8th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications To be held in conjunction with SC26 Sunday, November 15, 9 AM-5.30 PM Chicago, IL, USA Website: https://urldefense.us/v3/__https://ai4s.github.io/__;!!G_uCfscf7eWS!YAJuZah… ========================================================== -------------- Overview -------------- The purpose of this workshop is to bring together computer scientists and domain scientists from academia, government, and industry to share recent advances in the use of AI/ML in various scientific applications, introduce new scientific application problems to the broader community, and stimulate tools and infrastructures not only to support the application of AI/ML in scientific applications but also effectively utilize existing and future HPC systems for AI/ML-based scientific applications The workshop will be organized as a series of plenary talks based on peer-reviewed paper submissions accompanied by keynotes from distinguished researchers in the area and a panel discussion. We encourage participation and submissions from universities, industry, and DOE National Laboratories. Artificial Intelligence (AI) and Machine Learning (ML) are transforming scientific discovery, driving breakthroughs in climate modeling, materials discovery, astrophysics, drug development, and many other domains. AI for Science (AI4S) focuses on developing and applying computational learning and machine intelligence to accelerate innovation in scientific research. Recent years have witnessed AI-driven advances that have reshaped the landscape of scientific research. AI methods have been successfully applied to predict extreme weather events with greater accuracy, identify exoplanets among trillions of sky pixels, accelerate numerical solvers for fluid dynamics and physics-based simulations, design novel materials and chemical processes, improve drug discovery pipelines, and help uncover fundamental insights into the universe. At the same time, generative AI is revolutionizing not only scientific computing but also broader societal applications. However, despite these advancements, several fundamental challenges remain in effectively integrating AI/ML into scientific workflows, particularly when leveraging high-performance computing (HPC) resources. One of the most pressing questions is how to systematically and automatically apply AI/ML techniques to complex scientific applications while ensuring reliability, interpretability, and efficiency. The integration of domain knowledge, such as conservation laws, invariants, causality, and symmetries, remains an open problem that requires deeper exploration. Additionally, enhancing the robustness of AI models for HPC environments and making them interpretable for scientific analysis is a crucial step toward broader adoption. Foundation models designed for scientific applications need further refinement to meet domain-specific requirements, and significant efforts are needed to reduce the energy cost of large-scale AI training. Ensuring that AI/ML frameworks are approachable and efficient for the broader HPC community is another important challenge, along with effectively utilizing extreme-scale HPC systems and emerging AI accelerators to unlock new scientific possibilities. --------------------- Call for Papers --------------------- We solicit research papers in the following topic areas, but not be limited to: - Advancing scientific discovery and development workflows through generative AI models; - Strategies for reducing the energy consumption of AI model training and inference; - Investigating the impact of quantization and reduced precision techniques on the accuracy and correctness of AI-driven scientific applications; - Novel AI/ML approaches for improving execution time, efficiency, and simulation accuracy; - Characterizing the impact, accuracy, and effectiveness of AI/ML for scientific workloads; - Leveraging HPC systems to accelerate training and inference of AI/ML models on large-scale scientific datasets; - Addressing scalability, optimization, and efficiency issues when deploying AI/ML on extreme-scale HPC platforms; - Methods for integrating domain knowledge, including physical laws and constraints, into AI-driven scientific modeling; - Replacing or augmenting traditional numerical methods with AI/ML models for computational efficiency; - Tools, frameworks, and infrastructure to enhance the usability and accessibility of AI in scientific applications; - Methods to improve interpretability, explainability, and robustness of AI models for critical scientific applications; - Performance evaluation and benchmarking of emerging AI accelerators (e.g., GPUs, TPUs, FPGAs, neuromorphic computing) for scientific workloads. ------------------ Submissions ----------------- Authors are invited to submit manuscripts in English structured as technical papers up to 6 pages 2-column pages (U.S. letter – 8.5″x11″), excluding the bibliography, using the IEEE proceedings template. The manuscripts are single-blind. Submissions not conforming to these guidelines may be returned without review. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop organizers for more information. Papers should be submitted electronically at: https://urldefense.us/v3/__https://submissions.supercomputing.org__;!!G_uCf… , SC26 Workshop: AI4S'26: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications". The final papers will be published in the SC Workshops Proceedings. ----------------------- Important Dates: ----------------------- Submission: August 8, 2026 (AoE) Notification of acceptance: September 4, 2026 Camera Ready: September 25, 2026 Workshop: November 15, 2026 -------------- Organizers -------------- Gokcen Kestor, Pacific Northwest National Laboratory Dong Li, University of California, Merced Murali Krishna Emani, Argonne National Laboratory Wenqian Dong, Oregon State University ---------------------------- Program Committee --------------------------- TBA

1 1

CFP ScalAH@SC: 17th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems - Papers due August 7
by Engelmann, Christian 03 Aug '26

03 Aug '26

We apologize if you receive multiple copies of this notice. Submission is now open! Deadline: August 7. ----------------------------------------------------------------------------- ScalAH26: 17th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems held in conjunction with SC26: The International Conference on High Performance Computing, Networking, Storage and Analysis November 15, 2026, Chicago, IL, USA https://urldefense.us/v3/__http://www.csm.ornl.gov/srt/conferences/Scala/20… Novel hybrid scalable scientific algorithms are needed with the advent of variety of novel accelerators including graphics processing units (GPUs), field-programmable gate arrays (FPGAs) as well as with the growth of the size of quantum computing devices and neuromorphic chips and various artificial intelligence (AI) specific processors. This myriad of devices requires an unified hybrid approach that allows efficient and scalable hybrid approaches combining classical and novel computing paradigms to be implemented at scale. These extreme-scale heterogeneous systems require novel scientific algorithms to hide the complexity, hide network and memory latency, have advanced communication, and have no synchronization points where possible. With the advent of AI in the past few years the need of such scalable mathematical methods and algorithms for such hybrid architectures that are able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Key science applications require novel mathematics and mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale heterogeneous high performance computing (HPC) systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers in PDF format with at least 4 letter size (8.5in x 11in) pages (not including references) in two-column IEEE format and not exceeding 8 pages (including references). There is no page limit for optional Artifact Description and Artifact Evaluation appendicies, but they must not be used to circumvent the 8 page limit. All authors must use the proceedings template at https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/temp… . LaTeX users, please use the "conference" mode. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at https://urldefense.us/v3/__https://submissions.supercomputing.org__;!!G_uCf… . All manuscripts will be single-blind peer-reviewed by at least 3 committee members and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the SC Workshop proceedings. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov, for more information. Reproducibility Initiative -------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalAH24 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Submitted Artifact Description (AD) and Artifact Evaluation (AE) appendices should follow the SC25 conference model and included in the submitted manuscript (see https://urldefense.us/v3/__https://sc26.supercomputing.org/program/papers/r… ). A manuscript can not be disqualified based on information provided or not provided in the AD/AE appendices, nor if the appendix is not available. The availability and quality of an appendix can be used in ranking. In particular, if two manuscripts are of similar quality, the existence and quality of the AD/AE appendices can be part of the evaluation process. The workshop will not evaluate the AD/AE appendices beyond the ACM Artifacts Available Badge. Important Web Sites ------------------- - ScalAH26 Website: https://urldefense.us/v3/__https://www.csm.ornl.gov/srt/conferences/Scala/2… - ScalAH26 Submissions: https://urldefense.us/v3/__https://submissions.supercomputing.org__;!!G_uCf… - SC26 website: https://urldefense.us/v3/__http://sc26.supercomputing.org__;!!G_uCfscf7eWS!… Important Dates --------------- - Submission opens: July 1, 2026 - Full paper submission: August 7, 2026 - Notification of acceptance: September 4, 2026 (firm) - Final paper submission: September 25, 2026 (firm, no extensions) - Early registration: October 14, 2026 - Late registration: November 20, 2026 - Workshop: November 15, 2026 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience and power efficiency on hybrid architectures - Porting scientific algorithms and applications to hybrid and heterogeneous architectures (with different accelerators, hybrid classical/quantum, classical/AI accelerated, etc.) - Crosscutting approaches (system software and applications) in addressing scalability challenges on hybrid architectures - Naturally fault tolerant, self-healing or fault oblivious scientific algorithms for hybrid architectures - Methods and algorithms for silent data corruption with systems at scale - Ensuring algorithms scalability over various accelerator partitions/islands, and taking advantage where the system itself has different kinds of specialized compute nodes Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Jack Dongarra, University of Tennessee, Knoxville, USA - Erik Draeger, Lawrence Livermore National Laboratory, USA - Philippa Rubin, Hartree Centre, Science and Technology Facilities Council, UK - Dieter Kranzlmueller, Leibniz Supercomputing Centre and Ludwig-Maximilians-University Munich, Germany Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov Program Committee ----------------- - Hartwig Anzt, Technical University Munich, Campus Heilbronn, Germany - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Paul Lin, Lawrence Berkeley National Laboratory, USA - Piotr Luszczek, MIT Lincoln Laboratory and University of Tennessee, Knoxville, USA - Kengo Nakajima, RIKEN, Japan - Valerie Taylor, Argonne National Laboratory, USA - Keita Teranishi, Oak Ridge National Laboratory, USA -- Christian Engelmann, Ph.D. Distinguished Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: https://urldefense.us/v3/__http://www.christian-engelmann.info__;!!G_uCfscf… <https://urldefense.us/v3/__http://www.christian-engelmann.info/__;!!G_uCfsc… >

1 1

[CFP] Deadline Extended : SC26 Workshop on High-Accuracy Computing on Low-Precision Hardware (HCLH'26)
by Barik, Reet 31 Jul '26

31 Jul '26

Apologies if you receive multiple copies of this email! The paper submission deadline for HCLH @ SC 26 has been extended to August 10, 2026 (AoE). =========================================================================== CALL FOR PAPERS SC26 Workshop on High-Accuracy Computing on Low-Precision Hardware (HCLH '26) In conjunction with SC26: The International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 15–20, 2026, Chicago, IL, USA (https://urldefense.us/v3/__https://hclh-sc.github.io__;!!G_uCfscf7eWS!aySOV… <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?… >) =========================================================================== Dates ===== Paper submissions due: August 10, 2026 Notification of acceptance: August 31st, 2026 Camera-ready papers due: September 21st, 2026 Scope ===== Modern high-performance computing systems increasingly prioritize reduced-precision arithmetic such as FP16, BF16, TF32, FP8, and integer formats to improve performance and energy efficiency. At the same time, many scientific applications continue to require high accuracy, numerical stability, and reproducibility. This growing mismatch between hardware trends and application requirements presents a fundamental challenge for the HPC community. The HCLH '26 workshop aims to bring together researchers, application scientists, system developers, and industry partners to explore algorithmic and implementation approaches enabling accurate scientific computing on low-precision hardware. The workshop will feature invited talks and solicited works highlighting mixed-precision methods, error-aware and adaptive numerical algorithms, floating-point emulation libraries, and practical deployment on large-scale systems. The workshop emphasizes building community-driven software ecosystems for broad adoption across domains, reducing duplication, and accelerating impact. By fostering discussion among application developers, numerical experts, and hardware vendors, the workshop will establish best practices, share lessons, and strengthen academia–industry collaboration to make low-precision hardware a reliable component of scientific workflows. Topics ====== Topics of interest include, but are not limited to: * Mixed-precision and precision-adaptive algorithms * Precision-aware iterative methods, solvers, and preconditioners * Floating-point emulation techniques, including FP64 emulation and Ozaki-style schemes * Alternative number formats and numerical representations, including posits and custom formats * Numerical stability, conditioning, error propagation, and robustness analysis, including formal and empirical methods * Tools for numerical debugging, verification, sensitivity analysis, and robustness evaluation * Compiler, runtime, and library support for precision-aware execution * Hardware/software co-design and use of low-precision accelerators for accurate scientific computing * AI-driven or agentic methods for precision-aware analysis, tuning, and transformation of scientific software * Application studies in areas such as FEM, CFD, multiphysics, linear algebra, and AI-for-science workflows * Benchmarking and evaluation methodologies that jointly consider performance, energy efficiency, and numerical fidelity Proceedings =========== The final papers will be published in the SC Workshops Proceedings. Submissions and Format ====================== Authors are invited to submit manuscripts in English as technical papers of 4 to 8 pages in 2-column format (U.S. letter, 8.5" x 11"), excluding references, using the IEEE proceedings template (https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/temp… <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?… >). Submissions are double-blind. Papers must be submitted via the SC'26 Submissions Portal (https://urldefense.us/v3/__https://submissions.supercomputing.org__;!!G_uCf… <https://urldefense.us/v3/__https://gcc02.safelinks.protection.outlook.com/?… >) under SC26 Workshop: HCLH'26: High-Accuracy Computing on Low-Precision Hardware. Organizers ========== Reet Barik, Argonne National Laboratory (ANL) Aditya Kashi, Oak Ridge National Laboratory (ORNL) Hao Lu, Oak Ridge National Laboratory (ORNL) Piotr Luszczek, MIT Lincoln Laboratory Paul Lin, NVIDIA Corporation (NVIDIA) Balavignesh Vemparala, Synopsys, Inc. Contact ======= Please address workshop questions to: Reet Barik (rbarik(a)anl.gov<mailto:[email protected]>) Aditya Kashi (kashia(a)ornl.gov<mailto:[email protected]>) -Reet ------------------------ Reet Barik, PhD Postdoctoral Appointee Argonne Leadership Computing Facility rbarik(a)anl.gov<mailto:[email protected]>

1 0

Call for Papers – CloudAM 2026 Workshop @ IEEE/ACM UCC 2026
by Carlo Puliafito 31 Jul '26

31 Jul '26

Call for Papers – CloudAM 2026 Workshop @ IEEE/ACM UCC 2026 We are pleased to invite paper submissions to the 15th International Workshop on Cloud and Edge Computing and Applications Management (CloudAM 2026), to be held in conjunction with the 19th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2026), in Florianópolis, Brazil, on December 1–4, 2026. CloudAM 2026 provides a forum for researchers and practitioners to discuss the latest advances in the management of cloud, edge, and cloud-to-edge continuum computing. Topics of interest include (but are not limited to): · Cloud and edge computing · Resource management, orchestration, and scheduling · Multi-cloud and hybrid cloud systems · AI-driven and autonomic management · Security and privacy · Performance evaluation and monitoring · Sustainable and green cloud computing · Scientific workflows and distributed AI · IoT and edge applications Submissions should present original, unpublished research and must follow the IEEE conference format with a maximum of 6 pages. Important Dates (AoE): · Paper submission: September 1, 2026 · Notification: October 8, 2026 · Camera-ready: October 15, 2026 · Workshop: December 1–4, 2026 (exact day TBD) More information, including the full Call for Papers and submission instructions, is available at: https://urldefense.us/v3/__https://cloudam-workshop.github.io/__;!!G_uCfscf… . We look forward to your submissions! Best regards, CloudAM 2026 Organizing Committee Roberto Rodrigues-Filho, University of Brasilia, Brazil Carlo Puliafito, University of Pisa, Italy Yehia Elkhatib, University of Glasgow, UK

1 0

International Workshop on Networks for AI and AI for Networks (NetAI 2026) -- Hard deadline set to August 6
by Carlo Puliafito 31 Jul '26

31 Jul '26

Call for Papers (NetAI 2026) – Hard deadline set to August 6 IEEE International Workshop on Networks for AI and AI for Networks (NetAI 2026), held in conjunction with the 24th IEEE International Symposium on Network Computing and Applications (NCA 2026) November 10-13, 2026, Ortygia-Syracuse (Sicily), Italy The IEEE International Workshop on Networks for AI and AI for Networks (NetAI 2026), held in conjunction with the 24th IEEE International Symposium on Network Computing and Applications (NCA 2026), aims to bring together researchers and practitioners working on the interplay between AI and modern networked systems. The workshop seeks high-quality contributions addressing theoretical advances, system designs, experimental evaluations, operational experiences, and emerging research challenges at the intersection of these domains. Topics of interest include, but are not limited to: ● AI-driven resource management and service orchestration in networks ● Foundation models and generative AI for network management and optimization ● Generative AI-assisted intent-based networking ● Small language models for edge and resource-constrained environments ● AI-driven prediction of resource and performance metrics for orchestration and control ● Machine learning for network monitoring, anomaly detection, diagnosis, and self-healing ● AI-enabled management of NFV/SDN environments ● AI in 5G/6G networks and in the cloud-edge continuum ● Trustworthy, Explainable, and secure AI for networked systems ● Networks and protocols for AI systems and workloads ● Federated learning and collaborative intelligence over networks ● Communication-efficient, privacy-preserving, and secure distributed AI ● Edge computing and distributed cloud for efficient distributed AI ● Performance, scalability, reliability, and sustainability issues in AI/network integration ● Experimental studies, datasets, benchmarks, prototypes, and real-world deployments ● Open challenges and visionary directions in AI for networks and networks for AI Important dates (Anywhere on Earth) ● Workshop Paper Submission Deadline: July 24, 2026 (August 6, 2026 – Hard deadline) ● Workshop Paper Acceptance Notification: September 11, 2026 ● Camera-ready deadline: September 25, 2026 Submission guidelines Authors are invited to submit papers describing original, previously unpublished work not currently under review by any other conference, workshop, or journal. Manuscripts must have a maximum length of 6 pages (one additional page is allowed upon payment of an extra fee of 100€) and be formatted using the two-column IEEE conference proceedings template. Paper submissions are handled via EDAS: https://urldefense.us/v3/__https://edas.info/N35439__;!!G_uCfscf7eWS!byx4ql… . Peer-review process A single-blind peer-review process will be adopted. Each submitted paper will receive at least three reviews from members of the Technical Program Committee. NetAI 2026 is an in-person event The workshop will be in-person and no virtual or remote presentations will be permitted. Authors of accepted papers are responsible to obtain an Italian visa, if required, in a timely manner so as to meet the above expectation. Accepted papers must be presented in person by one of the authors under full registration. Failure to meet this requirement will result in the exclusion of the paper from the final proceedings. All presented papers will be published in the conference proceedings and submitted to the IEEEXplore Digital Library. For further information, please consult the NetAI 2026 Website at https://urldefense.us/v3/__https://netai2026.dii.unipi.it/__;!!G_uCfscf7eWS… . General Chairs Carlo Puliafito<mailto:[email protected]>, University of Pisa, Italy Luiz Bittencourt<mailto:[email protected]>, University of Campinas, Brazil Paolo Bellavista<mailto:[email protected]>, University of Bologna, Italy Omer Rana<mailto:[email protected]>, Cardiff University, UK Floriano Scioscia<mailto:[email protected]>, Polytechnic University of Bari, Italy Technical Program Committee · Carlos A. Astudillo Trujillo, University of Campinas, Brazil · Zakaria Benomar, Thales, France · Alex Borges Vieira, UFJF, Brazil · Oscar Caicedo, Universidad de Cauca, Colombia · André Costa Drummond, University of Brasília, Brazil · Fabrizio De Vita, University of Messina, Italy · Joahannes Bruno Dias da Costa, Federal University of São Paulo, Brazil · Filippo Gramegna, LUM University, Italy · Saverio Ieva, Polytechnic University of Bari, Italy · Hasan Ali Khattak, National University of Sciences and Technology, Pakistan · Diego Kreutz, UniPampa, Brazil · Giuseppe Loseto, LUM University, Italy · Arun Malik, Microsoft Azure Networking, USA · Helder Oliveira, University of Sao Paulo, Brazil · Rafael Pasquini, UFU, Brazil · Benedetta Picano, University of Florence, Italy · Agnese Pinto, Polytechnic University of Bari, Italy · Christian Quadri, University of Milan, Italy · Michele Ruta, Polytechnic University of Bari, Italy · Michael Sheng, Macquarie University, Australia · Chinmay Sumantm, Apple, USA · Riccardo Tommasini, Institute National des Sciences Appliquées, France · Carlo Vallati, University of Pisa, Italy · Fabio Verdi, UFScar, Brazil

1 0

PMBS 2026 @ SC26 :: 2nd Call for Papers
by Hunold, Sascha 31 Jul '26

31 Jul '26

=============================================================================== PMBS 2026 :: 2nd Call for Papers 17th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS26) held in conjunction with IEEE/ACM SC26, Chicago, IL, USA, November 15, 2026 https://urldefense.us/v3/__https://pmbs-workshop.github.io__;!!G_uCfscf7eWS… =============================================================================== The PMBS26 workshop is concerned with the comparison of high-performance computer systems through performance modeling, benchmarking or through the use of tools such as simulators. We are particularly interested in research which reports the ability to measure and make trade-offs in software/hardware co-design to improve sustained application performance. We are also keen to capture the assessment of future systems, for example through work that ensures continued application scalability through peta- and exa-scale systems. The aim of this workshop is to bring together researchers, from industry and academia, concerned with the qualitative and quantitative evaluation and modeling of high-performance computing systems. Authors are invited to submit novel research in all areas of performance modeling, benchmarking and simulation, and we welcome research that brings together current theory and practice. We recognize that the coverage of the term performance has broadened to include power consumption and reliability, and that performance modeling is practiced through analytical methods and approaches based on software tools and simulators. We encourage submissions in the following areas: * Performance modeling, analysis, and prediction of applications and high-performance computing systems * Novel techniques and tools for performance evaluation and prediction * Advanced simulation techniques and tools * Micro-benchmarking, application benchmarking and tracing * Performance-driven code optimization and scalability analysis * Verification and validation of performance models * Benchmarking and performance analysis of novel hardware * Performance concerns in software/hardware co-design * Tuning and auto-tuning of HPC applications and algorithms * Benchmark suites * Performance visualization * Real-world case studies * Studies of heterogeneous architectures and many-core accelerators Work which examines similar topics will also be considered. === Best Student Paper === Upon submission, authors may indicate that their paper is eligible for the Best Student Paper. To be eligible, the first author must be a student at the time of submission. The first-place student paper will receive a complimentary SC26 workshop registration. === Important Dates === August 9 2026 (23:59 AoE) extended firm deadline - Full Paper Submissions August 26 2026 (23:59 AoE) - Late Breaking and Short Paper Submissions September 4 2026 - Full Paper Notifications September 9 2026 - Late Breaking and Short Paper Notifications September 25 2026 - Camera Ready Papers Due November 15 2026 - PMBS26 Workshop === Workshop Organizers === * Sascha Hunold, TU Wien, Austria * Steven A. Wright, University of York, UK * Simon Hammond, National Nuclear Security Administration, USA === Programme Committee (tentative) === * Mauricio Araya-Polo, TotalEnergies, USA * Dominic Brown, NVIDIA Corporation, UK * Pedro Bruel, HPE, USA * Fabien Chaix, FORTH-ICS, Greece * Xinye Chen, Sorbonne University, LIP6, CNRS, France * Camille Coti, École de Technologie Supérieure, Canada * Daniele De Sensi, Sapienza University of Rome, Italy * Ryusuke Egawa, Tokyo Denki University, Tohoku University, Japan * Danielle A. Ellsworth, Colorado College, USA * Jiří Filipovič, Masaryk University, Czech Republic * Paddy Gillies, European Centre for Medium-Range Weather Forecasts, UK * Ruben Gran Tejero, University of Zaragoza, Spain * Jeff R. Hammond, NVIDIA Corporation, Finland * Andreas Herten, Jülich Supercomputing Centre (JSC), Germany * Nikhil Jain, NVIDIA Corporation, USA * Ana Jokanović, Hokus Platform, Spain * Michael Klemm, Advanced Micro Devices, Inc. (AMD); OpenMP Architecture Review Board, Germany * Ruben Laso, University of Vienna, Austria * Kewen Meng, Advanced Micro Devices, Inc. (AMD), USA * Gihan Mudalige, University of Warwick, UK * Naohito Nakasato, University of Aizu, Japan * Daniel Nichols, Lawrence Livermore National Laboratory, USA * Miquel Pericas, Chalmers University of Technology, Sweden * Dirk Pleiter, University of Groningen, KTH Royal Institute of Technology, Netherlands * Jonas Posner, Fulda University of Applied Sciences, Germany * Amir Raoofy, Leibniz Supercomputing Centre (LRZ), Technical University of Munich, Germany * Ari Rasch, University of Münster, Germany * Istvan Z. Reguly, Pázmány Péter Catholic University, Hungary * Andrey Semin, Apple Inc., Germany * S.-Kazem Shekofteh, Heidelberg University, Germany * Philippe Swartvagher, INRIA Bordeaux, France * Luan Teylo, French Institute for Research in Computer Science and Automation (INRIA), France * Peter Thoman, University of Innsbruck, Austria * James D. Trotter, Simula, Norway * Didem Unat, Koç University, Turkey * Alejandro Valero, Universidad de Zaragoza, Spain * Ben van Werkhoven, Leiden University, Netherlands eScience Center, Netherlands * Lilia Zaourar, French Alternative Energies and Atomic Energy Commission (CEA), France * Zhengji Zhao, National Energy Scientific Computing Centre, Lawrence Berkeley National Laboratory, USA === Submission Guidelines === For more information consult the PMBS Workshop homepage at: https://urldefense.us/v3/__https://pmbs-workshop.github.io__;!!G_uCfscf7eWS…

1 0

Deadline extended: HPC-ODA 2026 - 1st International Workshop on HPC Operational Data Analytics at SC'26
by Michael Ott 31 Jul '26

31 Jul '26

*** Paper submission deadline extended to August 12, 2026 *** HPC-ODA 2026 - 1st International Workshop on HPC Operational Data Analytics Held in conjunction with IEEE/ACM SC 2026, The International Conference for High Performance Computing, Networking, Storage and Analysis, in Chicago, IL Friday, 20 November 2026, 8:30am - 12:30pm Workshop website: https://hpc-oda.org/workshop2026 Description =========== High-performance computing (HPC) systems generate vast streams of operational data: system logs, job scheduler records, hardware metrics, energy consumption, network performance, and environmental telemetry. This data is foundational to the entire HPC ecosystem. Operations teams rely on it for system reliability, efficiency, and predictable maintenance. Researchers need it for training AI/ML models, constructing digital twins, and studying system behavior at scale. Users need it to understand application behavior, diagnose performance bottlenecks, and optimize resource utilization. Yet access to this data — and the ability to analyze it effectively — remains unevenly distributed across these communities. The HPC Operational Data Analytics (HPC-ODA) Workshop is a dedicated venue for bridging that gap. Building on eight years of successful Birds-of-a-Feather sessions at SC and ISC, this inaugural workshop transitions to a peer-reviewed format to enable deeper technical engagement and lasting community collaboration. The workshop welcomes contributions from researchers, practitioners, operators, tool developers, students, and others working at the intersection of HPC systems, telemetry, monitoring, and analytics. Topics of Interest ================== We welcome submissions on any aspect of operational data analytics in HPC, including but not limited to: * ODA Infrastructure and Engineering o System integration and architecture o Scalable data collection, ingestion, and processing pipelines * Data Visualization and Analytics o Analysis methods and techniques o Machine learning applications o Real-time streaming analytics * Data Standardization, Management, and Governance o Data lifecycle management o Security and compliance o FAIR data practices * HPC Use Cases and Data Impact o Energy and sustainability o Application runtime profiling o Performance engineering o Anomaly detection o HPC lifecycle and procurement o Business operations and ROI * Best Practices and Case Studies o Implementation experiences o Deployment strategies o Performance validation * Emerging Technologies o Digital twins o Large language models applied to HPC operations o Multi-site and cloud-HPC hybrid operations o Advanced visualization Submissions =========== Papers ------ Papers may be submitted as either: * Short papers — 4 two-column pages, appropriate for work-in-progress or focused contributions * Full papers — 8 two-column pages, for mature research contributions All papers must be submitted in PDF format using the IEEE conference template via the SC Linklings submission system. Each submission will receive a minimum of three single-blind peer reviews. In support of the SC26 Reproducibility Initiative, authors may optionally submit an Artifact Description and Artifact Evaluation (AD/AE) appendix. This appendix will not be reviewed but will be included with papers after acceptance, in accordance with SC26 guidelines. Accepted papers will be included in the workshop program and presented during the event. Presentation format and duration will be determined based on the final program. Lightning Talks --------------- Lightning talks provide an opportunity to present emerging work, operational experiences, tools, dashboards, and other contributions that may not be suitable for full or short paper submissions. Submissions are welcome from across the HPC community, including researchers, practitioners, and students. We especially encourage contributions that share early-stage ideas, operational insights, or practical experiences. Lightning talk submissions should consist of an extended abstract (1–2 pages). There is no strict formatting requirement; however, submissions should be clear, well-structured, and comparable in scope to a short paper (e.g., including motivation, approach, and key outcomes). Submissions should be provided as a PDF. Submissions will be peer-reviewed for relevance and quality. Accepted lightning talks will be allocated a 5-minute presentation slot and will be documented in the HPC-ODA workshop report published through the EE HPC WG. Short/Long Paper submissions: https://submissions.supercomputing.org/?page=Submit&id=SCWorkshopHPCODASubm… Lightning Talk submissions: https://submissions.supercomputing.org/?page=Submit&id=SCWorkshopHPCODALigh… AI Use Policy ------------- Content generated by AI tools must be clearly and thoroughly described in the submission. AI systems may not be credited as authors. Important Dates =============== All deadlines are 11:59 PM AoE (Anywhere on Earth). * August 12, 2026 — Full / Short Paper Submission Deadline (extended) * September 4, 2026 — Full / Short Paper Notification * September 18, 2026 — Camera-Ready Deadline * September 18, 2026 — Lightning Talk Submission Deadline * September 25, 2026 — Lightning Talk Notification * November 20, 2026 — Workshop: 8:30am - 12:30pm Publication =========== Papers accepted and presented at HPC-ODA 2026 will be published as part of the SC26 workshop proceedings in the IEEE Xplore Digital Library. A workshop report covering the keynote, lightning talks, and open discussion will be published and distributed through the EE HPC WG Operational Data Analytics team website. Organizing Committee ==================== * Michael Ott, LRZ * Ayse Coskun, Boston University * Jeff Hanson, HPE * Melissa Romanus, NERSC/LBNL * Woong Shin, ORNL * Tim Osborne, ORNL Program Committee ================= * Andrea Bartolini, University of Bologna * Andrea Borghesi, University of Bologna * Norman J Bourassa, Lawrence Berkeley National Laboratory/NERSC * Jim Brandt, Sandia National Laboratories * Wesley Brewer Oak Ridge National Laboratory * Paul Brunk, University of Georgia * Valeria Cardellini, Tor Vergata University of Rome * Wolfgang Frings, Jülich Supercomputing Centre * Filipe Guimarães, Jülich Supercomputing Centre * Ahmad Maroof Karimi, Oak Ridge National Laboratory * Kadidia Konate, Lawrence Berkeley National Laboratory/NERSC * Matthias Maiterth, NVIDIA * Beste Oztop, Boston University * Rachel Palumbo, Oak Ridge National Laboratory * Tapasya Patki, Lawrence Livermore National Laboratory * Jie Ren, College of William & Mary * Efe Sencan, Boston University * Kathleen Shoga, Lawrence Livermore National Laboratory * Frédéric Suter, Oak Ridge National Laboratory * Devesh Tiwari, Northeastern University * Torsten Wilde, Hewlett Packard Enterprise * Daniel C. Wilson, Boston University * Mike Woodacre, Hewlett Packard Enterprise * Keiji Yamamoto, RIKEN Center for Computational Science -- Dr. Michael Ott Future Computing Group Leibniz Supercomputing Centre Tel +49.89.358318746

1 0

CFP: 21st Workshop on Workflows in Support of Large-Scale Science [Deadline Extended]
by George Papadimitriou 30 Jul '26

30 Jul '26

Apologies if you receive multiple copies of this email! *---------------- WORKS 2026 Workshop -----------------* 21st Workshop on Workflows in Support of Large-Scale Science https://urldefense.us/v3/__https://works-workshop.org/__;!!G_uCfscf7eWS!eq6… Sunday, November 15th 2026, Chicago, IL, USA Held in conjunction with SC26 <https://urldefense.us/v3/__https://sc26.supercomputing.org/__;!!G_uCfscf7eW… >, The International Conference on High-Performance Computing, Networking, Storage, and Analysis Submissions deadline: August 7, 2026 (Final Extension) --------------------------------------------------------------------- *Call For Papers:* Scientific workflows have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation that enable researchers to easily define sophisticated computational processes, and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by multiple scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow can now analyze terabyte-scale data sets; execute millions of individual tasks; coordinate heterogeneous resources and tasks from edge to core; process near real-time data streams, files, and data placed in different types of storage systems; and incorporate AI agents for multiple purposes. The computations can be single core workloads, loosely-coupled tasks, or tightly-coupled computations, and can run in heterogeneous distributed computing platforms all within a single workflow The *Workshop on Workflows in Support of Large-Scale Science (WORKS)* focuses on the many facets of scientific workflow composition, management, sustainability, and application to domain sciences in an increasingly diverse and a rapidly evolving technology landscape. *WORKS aims to serve as the central meeting point for all the stakeholders involved in the evolving workflows community, and to showcase the latest developments and emerging approaches in the field.* *Workshop topics include (but are not limited to):* - Workflow user environments, portals, and advanced AI-augmented front-end workflow tools - Data-driven workflow processing (including stream processing workflows) - Interactive, adaptive, and dynamic workflows (including workflow steering) - Workflow execution in distributed and heterogeneous environments (HPC, clouds, edge, grids, and AI infrastructures) - AI-driven and agentic workflows - End-to-end workflows - from instruments to networks to cross-facility enactment - Serverless workflows and serverless orchestration - Workflows integrating emerging computing, storage and networking technologies (e.g., quantum, DNA) - Workflow modeling - Workflow composition languages and orchestrators - Workflow scheduling and resource management (including energy efficiency and cost) - Application of AI/ML to workflow management - Performance analysis and debugging of workflows - Workflow provenance - Workflow fault-tolerance and recovery techniques - Workflows and autonomous, self-driving labs - Interdisciplinary workflow applications - Workflow applications and their requirements - Reproducible research using workflows - Exascale computing with workflows - Big Data analytics workflows *Important Dates - All deadlines are Anywhere on Earth (AoE):* - Paper and Abstract Submission: August 7, 2026 (Final Extension) - Paper and Abstract Acceptance Notification: September 4, 2026 - Camera-ready Submission: September 25, 2026 - Workshop: November 15, 2026 *There will be two forms of presentations:* - *Paper presentations *- Resulting from the submission of *Full Papers* (up to 8 pages) describing a novel research contribution in the topics listed above. - *Panel discussions* - Resulting from the submission of *Abstracts *(up to 4 pages) - We encourage abstract submissions from early career researchers with ground-breaking ideas, and established researchers with vast experience and a vision for the future. The purpose of the contributed panel is to support the discussion of emerging ideas in contrast with previously successful approaches. *Review Process:* *Full Papers* will undergo a thorough, single blind review process. Each full paper will receive at least three reviews from experts in our Workshop Program Committee. Each full paper will be presented at the workshop, and be included in the SC Workshop Proceedings. Our committee will value efforts towards improving the reproducibility and transparency of the presented research. We encourage full paper submissions to include information about relevant software and data artifacts within the paper. Authors are also encouraged to make available online any products of their paper (e.g., simulators, graphs, experimental results, logs, etc.). However, dedicated Artifact Description (AD)/Artifact Evaluation (AE) appendices are not expected as part of the submission. *Abstracts *will undergo a thorough, single blind review process and each will receive at least three reviews from experts in our Workshop Program Committee. Based on the content of the accepted abstracts, the Workshop Chairs will organize a Panel discussion during the workshop centered around the contributed topics. One author from each accepted abstract will participate in the panel discussion. Accepted abstracts will not be included in the SC Workshop Proceedings. *Unlike some of the previous editions of WORKS, abstracts will not be compiled into a full paper.* *Proceedings Publication:* Accepted full papers from the workshop will be published in the SC Workshops Proceedings volume, and made available online through the IEEE Xplore. *Submissions:* - *Full papers: *Submissions are limited to 8 pages. - *Abstracts:* Submissions are limited to 4 pages. Submissions are limited to 8 two-column pages (U.S. letter – 8.5″ x 11″), excluding the bibliography, using the IEEE proceedings template. The IEEE conference proceeding templates for LaTeX and MS Word provided by IEEE eXpress Conference Publishing are available for download in this link <https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/temp… >. Latex users, please use the "conference" mode. To enhance the accessibility, accuracy, and longevity of references in all submitted manuscripts, authors are strongly encouraged to include Digital Object Identifiers (DOIs) for all cited works whenever available. *Page limits include all figures, tables, references, and appendices.* Both Abstracts and Full Papers must be submitted through the official SC26 submission site: https://urldefense.us/v3/__http://submissions.supercomputing.org/__;!!G_uCf… *More Information:* For more information, please visit the WORKS website at https://urldefense.us/v3/__https://works-workshop.org/__;!!G_uCfscf7eWS!eq6… *WORKS 2026 Organizing Committee:* - *General Chairs* - Silvina Caino-Lores, French Institute for Research in Computer Science and Automation (INRIA), France - Anirban Mandal, Renaissance Computing Institute (RENCI), UNC Chapel Hill, USA - *Publicity Chair* - George Papadimitriou, Apple, USA - *Steering Committee* - David Abramson, University of Queensland, Australia - Malcolm Atkinson, University of Edinburgh, UK - Ewa Deelman, University of Southern California, USA - Michela Taufer, University of Tennessee, USA *WORKS 2026 Program Committee (Tentative):* - Rosa M. Badia, Barcelona Supercomputing Center, Spain - Changxin Bai, Kettering University, USA - Silvina Caino-Lores, INRIA, France - Jesus Carretero, University Carlos III of Madrid, Spain - Henri Casanova, University of Hawaii at Manoa, USA - Alberto Cascajo, University Carlos III of Madrid, Spain - Iacoppo Colonnelli, University of Torino, Italy - Alexandru Costan, INSA Rennes, France - Daniel de Oliveira, Fluminense Federal University, Brazil - Ewa Deelman, University of Southern California, USA - Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA - Sandro Fiore, University of Trento, Italy - Sandra Gesing, San Diego Supercomputing Center, USA - William Godoy, Oak Ridge National Laboratory, USA - Amal Gueroudji, Argonne National Laboratory, USA - Daniel S. Katz, National Center for Supercomputing Applications, USA - Jakob Luettgau, INRIA, France - Ketan C. Maheshwari, Oak Ridge National Laboratory, USA - Maciej Malawski, AGH University of Krakow, Poland - Anirban Mandal, RENCI, USA - Marta Mattoso, Federal University of Rio de Janeiro, Brazil - Raffaele Montella, University of Naples Parthenope, Italy - Paula Olaya, NVIDIA, USA - Loïc Pottier, Lawrence Livermore National Laboratory, USA - Radu Prodan, University of Innsbruck, Austria - Bruno Raffin, INRIA, France - Sashko Ristov, University of Innsbruck, Austria - Raul Sirvent, Barcelona Supercomputing Center, Spain - Renan Souza, Oak Ridge National Laboratory, USA - Frédéric Suter, Oak Ridge National Laboratory, USA - Domenico Talia, University of Calabria, Italy - Douglas Thain, University of Notre Dame, USA - Cong Wang, RENCI, USA - Sean R. Wilkinson, Oak Ridge National Laboratory, USA - Orcun Yildiz, Argonne National Laboratory, USA

1 0

FTXS 2026 @ SC26 : Call for Papers
by Levy, Scott 30 Jul '26

30 Jul '26

=============================================================== CALL FOR PAPERS Workshop on Faults, Trustworthiness, and eXplainability for AI Systems at Scale (FTXS) Co-located with SC26 Website: https://urldefense.us/v3/__https://sites.google.com/view/ftxs2026__;!!G_uCf… =============================================================== OVERVIEW As AI systems and large language models (LLMs) scale to unprecedented levels of complexity and deployment, addressing their faults, trustworthiness, and explainability becomes critical to ensure reliable and responsible operation in real-world environments. FAULTS: Modern AI pipelines-including training, inference, retrieval-augmented generation (RAG), and agentic systems are vulnerable to a variety of faults and subtle failures. These include distribution drift, prompt and tool variability, infrastructure noise, and limited-precision effects. Such faults can lead to cascading issues like hallucinations, instability, miscalibration, and silent regressions that waste computational resources, degrade system performance, and may mislead users. TRUSTWORTHINESS: Building trust in AI systems at scale requires robust mechanisms to detect, diagnose, and defend against faults and failures. Trustworthiness encompasses system reliability, reproducibility, and resilience under real-world variability. It also involves establishing rigorous measurement, benchmarking, and validation practices that provide confidence in AI-assisted decisions and operational outcomes. EXPLAINABILITY: Explainability plays a vital role as a diagnostic and attribution tool across the AI pipeline. By providing insights into the behavior of models, retrieval components, tools, infrastructure, and precision layers, explainability helps identify the root causes of faults and supports transparent evaluation. It enables stakeholders to understand, interpret, and trust AI system outputs, especially when addressing complex failure modes at scale. The FTXS workshop emphasizes a practical closed-loop framework for advancing these themes: Disturb -> Degrade -> Detect -> Diagnose -> Defend -> Validate Through this lens, we seek to foster research and operational best practices that improve the reliability, trustworthiness, and explainability of AI systems deployed at scale. --------------------------------------------------------------- IMPORTANT DATES * Paper submission closes: August 6, 2026 * Author notification: September 4, 2026 * Camera-ready papers: September 25, 2026 * Workshop: Monday, November 16, 2026 (1:30pm - 5:00pm CST) All deadlines are Anywhere-on-earth (AoE), the workshop start and end times are Central Standard Time. --------------------------------------------------------------- TOPICS OF INTEREST We invite original research papers, case studies, and position papers on topics including, but not limited to: - Faults, failures, and variability in AI/LLM pipelines at scale - Detection and diagnosis of hallucinations, regressions, and silent errors - Explainability and interpretability methods for fault attribution - Measurement, benchmarking, and evaluation protocols for AI system reliability - Techniques for distribution drift detection and mitigation - Robustness and fault tolerance in training and inference systems - Telemetry, monitoring, and observability for large-scale AI deployments - Impact of infrastructure noise and limited-precision arithmetic on AI outputs - Reproducibility and validation frameworks for AI systems at scale - Case studies on operational AI system failures and recovery strategies - Cross-disciplinary approaches combining HPC, AI, and systems reliability - Tools and checklists to improve AI system trustworthiness in production - Security and adversarial fault injection in AI pipelines --------------------------------------------------------------- ORGANIZERS - Scott Levy, Sandia National Laboratories - Bo Fang, University of Texas at Arlington - Hailong Jiang, Youngstown State University - Keita Teranishi, Oak Ridge National Laboratory --------------------------------------------------------------- CONTACT For questions or further information, please contact Scott Levy (sllevy(a)sandia.gov)

1 1

[FINAL DEADLINE] PDSW 2026 @ SC26 - Submission Deadline extended to August 7th, 2026
by Liem, Radita Tapaning Hesti 28 Jul '26

28 Jul '26

-------------------------------------------------------------------------- The 11th International Parallel Data Systems Workshop (PDSW'26) -------------------------------------------------------------------------- PDSW 2026 website: https://urldefense.us/v3/__https://www.pdsw.org/__;!!G_uCfscf7eWS!fN4KgAXfX… Paper Submissions due: August 7th, 2026, 11:59 PM AoE (final extension) AD due: August 14th, 2026, 11:59 PM AoE (final extension) Paper Notification: Sep 4th, 2026, 11:59 PM AoE Camera ready due: Sep 25th, 2026, 11:59 PM AoE Final AD/AE due: Sep 25th, 2026, 11:59 PM AoE Workshop day: Monday, Nov 16th, 2026 (all day) Submissions website: https://urldefense.us/v3/__https://submissions.supercomputing.org/__;!!G_uC… We are excited to announce the 11th International Parallel Data Systems Workshop (PDSW'26), to be held in conjunction with SC26: The International Conference for High Performance Computing, Networking, Storage, and Analysis, in Chicago, IL. PDSW'26 builds upon the rich legacy of its predecessor workshops, the Petascale Data Storage Workshop (PDSW, 2006–2015) and the Data Intensive Scalable Computing Systems (DISCS, 2012–2015) workshop. The increasing importance of efficient data storage and management continues to drive scientific productivity across traditional simulation-based HPC environments and emerging Cloud, AI/ML, and Big Data analysis frameworks. Challenges are compounded by the rapidly expanding volumes of experimental and observational data, the growing disparity between computational and storage hardware performance, and the rise of novel data-driven algorithms in machine learning. This workshop aims to advance research and development by addressing the most pressing challenges in large-scale data storage and processing. We invite the community to contribute original research manuscripts that introduce and evaluate novel algorithms or architectures, share significant scientific case studies or workloads, or assess the reproducibility of previously published work. We emphasize the importance of community collaboration for problem identification, workload capture, solution interoperability, standardization, and shared tools. Authors are encouraged to provide comprehensive experimental environment details (software versions, benchmark configurations, etc.) to promote transparency and facilitate collaborative progress. ----------------------------- Topics of Interest ----------------------------- - Scalable Architectures: Distributed data storage, archival, and virtualization. - New Data Processing Models and Algorithms: Application of innovative data processing models and algorithms for parallel computing and analysis. - Performance Analysis: Benchmarking, resource management, and workload studies. - Cloud and Container-Based Models: Enabling cloud and container-based frameworks for large-scale data analysis. - Storage Technologies: Adaptation to emerging hardware and computing models. - Data Integrity: Techniques to ensure data integrity, availability, reliability, and fault tolerance. - Programming Models and Frameworks: Big data solutions for data-intensive computing. - Hybrid Cloud Data Processing: Integration of hybrid cloud and on-premise data processing. - Cloud-Specific Opportunities: Data storage and transit opportunities specific to cloud computing. - Storage System Programmability: Enhancing programmability in storage systems. - Data Reduction Techniques: Filtering, compression, and reduction techniques for large-scale data. - File and Metadata Management: Parallel file systems, metadata management at scale. - In-Situ and In-Transit Processing: Integrating computation into the memory and storage hierarchy for in-situ and in-transit data processing. - Alternative Storage Models: Object stores, key-value stores, and other data storage models. - Productivity Tools: Tools for data-intensive computing, data mining, and knowledge discovery. - Data Movement: Managing data movement between compute and data-intensive components. - Cross-Cloud Data Management: Efficient data management across different cloud environments. - AI-enhanced Systems: Storage system optimization and data analytics using machine learning. - New Memory and Storage Systems: Innovative techniques and performance evaluation for new memory and storage systems. - AI and Agentic related data management: tools and techniques necessary to support AI workloads and Agentic AI data analytics for online decision making. More details are available at: https://urldefense.us/v3/__https://www.pdsw.org/__;!!G_uCfscf7eWS!fN4KgAXfX… ----------------------------- Template and Submission ----------------------------- - A full paper up to 6 pages in length, excluding references, acknowledgements, and AD/AE appendices. Once anonymization is removed for camera ready submission, these limits must still be met. Please make sure that author names fit within the 6-page limit as well even though the submission should be double-anonymized. - Artifact Description (AD) Appendix is mandatory and Artifact Evaluation (AE) Appendix is optional. - Papers must adhere to the IEEE conference proceeding template available at: https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/temp… - Papers will be reviewed double-blind. Author names and affiliations should NOT be included in the submitted paper. - Submit your papers by August 7th, 2026, 11:59 PM AoE at https://urldefense.us/v3/__https://submissions.supercomputing.org/__;!!G_uC… ----------------------------- Reproducibility Initiative ----------------------------- Aligned with the SC26 Reproducibility Initiative (https://urldefense.us/v3/__https://sc26.supercomputing.org/program/papers/r… ), we require detailed and structured artifact descriptions (AD) using the SC26 format (https://urldefense.us/v3/__https://github.com/jennfshr/sc26-repro__;!!G_uCf… ). The AD should include a field for one or more links to data (Zenodo, figshare, etc.) and code (Github, GitLab, Bitbucket, etc.) repositories. For the artifacts that will be placed in the code repository, we encourage authors to follow the PDSW 2026 Reproducibility Addendum (https://urldefense.us/v3/__https://www.pdsw.org/pdsw26/PDSW2026Reproducibil… ) on how to structure the artifact, as it will make it easier for the reviewing committee and readers of the paper in the future. Submissions website: https://urldefense.us/v3/__https://submissions.supercomputing.org/__;!!G_uC… ----------------------------- Organization Team ----------------------------- General Chair: Jay Lofstead Sandia National Laboratories, USA Program Co-Chairs: Sarah Neuwirth Johannes Gutenberg University Mainz, Germany Lipeng Wan Georgia State University, USA Reproducibility Chair: Ricardo Macedo INESC TEC & University of Minho, Portugal Publicity Chair: Radita Liem Johannes Gutenberg University Mainz, Germany Web & Publications Chair: Joan Digney Carnegie Mellon University, USA

1 0