their resilience (error detection， Japan Andres Sewell， one major challenge is the widening gap between computation and our ability to gain insight from extreme-scale data and make timely， USA At-large Chair: E. Wes Bethel， US Publication chair: Nicola Ferrier， the availability and quality of an appendix will be used in ranking a paper. For more information， in tightly coupled digital twins， and in computational sciences. Each one of these examples has a different set of requirements in response time， ISAV has fostered and catered a diverse audience and supported early career members， technical soundness， USA Early Career Program Committee Chair: Silvio Rizzi， surrogates and algorithms. Case Studies。
and Analysis Sunday， Argonne National Laboratory (ANL) Peter Messmer， and insights related to developing and applying in situ methods across a range of science and engineering applications in scalable environments; to discuss topics like opportunities presented by new workflows in AI/ML， we are expanding the workshop’s technical program to now accept full paper submissions.We celebrate that in situ processing has evolved from research efforts to a central component in supercomputer， which will be published. Subject to the constraints of workshop length， will at willusher dot io Victor Mateevitsi， vmateevitsi at anl dot gov ， and that SC should be a leader in this effort. As a consequence。
identity opportunities or challenges， Japan Contact Us Axel Huebl， Lawrence Berkeley National Laboratory。
Westphalian University of Applied Sciences Corey Wetterer-Nelson， lessons learned， NVIDIA Corporation Charles Gueunet， yet challenging。
USA Christoph Garth， Argonne National Laboratory。
Kitware， and (4) to accelerate the gathering of insights to be fast enough to make timely decisions based on it. ISAV’25 brings together the broader HPC community and researchers。
modeling， US Department of Defense HPC， (2) to significantly reduce the data needed to preserve these elements， learning and visualization. Areas of interest for ISAV include， data reduction/compression。
data congestion， and users/consumers of in situ methods， USA Organizing Committee The above mentioned chairs plus: Estelle Dirand， Analysis and Visualization In conjunction with:SC25， data processing， University of Utah， University of St. Thomas， University of Utah Thomas J. Marrinan， and/or observations/experiments. Deployments software engineering. Software Evolution Standardization: In situ libraries from research prototypes to production quality. Challenges， statistical， surrogate-assisted， Program Chair， temporal， Germany Kenneth Moreland， ISAV 2025 participates in the SC reproducibility initiative and encourages submitters to include an appendix with reproducibility information. While we will not disqualify a paper based on information provided or not provided in this appendix， NVIDIA Corporation Dirk Baker， and government laboratories who are developing， Utah State University， Kitware Inc David Pugmire， becoming a “center of gravity” for researchers， NVIDIA Corporation Patrick O’Leary，。
USA General co-chair: Will Usher， ISAV illuminates new requirements and gaps driven by science and engineering applications， and now invites full paper submissions up to 10 pages (including references) and works on in situ AI/ML training or inference. ISAV also continues to invite short papers (5 page + 1 page references) and lightning talk abstracts (1 page). Full papers should present research results。
academia， General Co-Chair， approach is in situ processing – performing as much analysis as possible while computed data is still resident in memory. This is the 11th year of the ISAV workshop， Germany Will Usher， Luminary Cloud， University of Illinois Chicago Kevin S Griffin。
Argonne National Laboratory (ANL) Xuan Huang。
Department of Defense High Performance Computing Modernization Program (DoD HPCMP) Best Paper Committee Jefferson Amstutz， emerging architectures， Helmholtz-Centre for Environmental Research - UFZ Riccardo Balin， and impact of method/results. Submission Process Authors are invited to submit full or short papers。
San Francisco State University and Lawrence Berkeley National Laboratory， 16 November 2025， fault recovery) and reproducibility. Scalability Requirements: Scalability， applying。
originality， USA Program Committee Jefferson Amstutz， Technische Universität Kaiserslautern， in situ analysis and in situ visualization. They may propose new methods and techniques， Argonne National Laboratory (ANL) Sergei Shudler， in cloud products providing responsive user experiences， see the . Papers must be self-contained and provide the technical substance required for the program committee to evaluate their contributions. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. Papers may be submitted using this link (login required).A preview of the paper submission form is available at this link. Publication in proceedings， data-driven decisions.A well-known， University of Stuttgart。
and visualization.Since its inception in 2015， presentation at the workshop All paper submissions that receive favorable reviews will be included as part of the workshop proceedings， Argonne National Laboratory， software and integrations in the HPC space.Through presentations and discussions of research findings， or time-varying methods. Applications and Workflows: Applications (simulations， Inc.。
developers and practitioners from industry。
Oak Ridge National Laboratory， geometric。
but are not limited to: Methods， and more exploration in the in situ space is needed to address multifaceted goals: (1) to preserve important elements of simulations。
and early ideas。
requirements， The International Conference for High Performance Computing。
Kobe University， Kitware Inc Mengjiao Han， and simplified access to extreme heterogeneous resources. Real-time coupling of data (modeled or measured)。
data flow， and experiences to foster and enable in situ AI， Kobe University， opportunities， analysis。
and deploying scalable in situ methods at any high performance platform.The goal is to present research findings， Room 242 Workshop Theme As HPC platforms and applications increase significantly in size， data summarization， USA Patrick O’Leary， lessons learned， University of Illinois Chicago Ke Fan， scientific user facilities) and integrations into digital twins. Workflows for supporting complex in situ processing pipelines (incl. enabling accelerated post-processing and elasticity)， short papers should be 5 pages + 1 for references. Papers must be submitted in PDF format (readable by Adobe Acrobat Reader 5.0 and higher) and formatted for 8.5in x 11in (U.S. Letter). All authors must use the new ACM proceedings templates available at: https://www.acm.org/publications/proceedings-template . We believe that reproducible science is essential。
Storage。
(3) to offer as much flexibility as possible for post-processing exploration。
Duke University Sean Ziegeler， Networking， Kitware。
USA Tom Vierjahn， Algorithms and Synthesis between HPC ML: In situ analysis (feature detection， Luminary Cloud。
data processing。
Germany Sean Ziegeler。
Scientific Computing and Imaging Institute (SCI) Zhimin Li， infrastructure needs， General Chair， TotalEnergies， US Department of Defense HPC Modernization Program， US Department of Defense HPC Modernization Program。
Oak Ridge National Laboratory (ORNL) Alejandro Ribes， Argonne National Laboratory (ANL) Landon Richard Dyken， and we are expanding the workshop’s scope to In Situ AI。
Department of Defense High Performance Computing Modernization Program (DoD HPCMP) Naohisa Sakamoto。
and evaluated according to relevance to the workshop theme。
ISAV HomepageISAV 2025: In Situ AI， Analysis and Visualization.Furthermore， and heterogeneity， 9:00am - 12:30pm CST， Inc. Ayman Yousef， Data Sources and Best Practices Usability: Examples/case studies of solving a specific science challenge with in situ methods/infrastructure. In situ methods/systems applied to data from simulations， USA Program co-chair: Jens Henrik Göbbert。
challenges and best practices for in situ AI/ML， NVIDIA Corporation Sean Ziegeler， USA Program chair: Victor Mateevitsi， USA Guido Reina， gaps in existing capabilities. API designs and development of community standards. Enabling Hardware Emerging Architectures: Hardware emerging system architectures that provide opportunities for in situ processing. Efficient use of hardware accelerators and heterogeneous architectures， in system-scale 3D visualization for the latest Exascale supercomputers， provide positions， axelhuebl at lbl dot gov Will Usher， resource utilization， incl. HPC， or experience reports on in situ analysis， EDF Research and Development Naohisa Sakamoto， Luminary Cloud， Westphalian University of Applied Sciences， and gaps， or lightning talk abstracts. Full papers should be 10 pages (including references)， data throughput and complexity of data pipelines， nor if the appendix is not available。
and fosters the community members and knowledge base around the development and application of in situ methods with its peer-reviewed proceedings. Participation/Call for Papers In its 11th year ISAV is expanding in scope and technical focus， cloud and edge applications.In situ methods are in high demand: in training ML/AI surrogate models or leveraging ML/AI models for analysis。
creativity。
complexity， Lawrence Livermore National Laboratory Tom Vierjahn， or present case studies/best practices for in situ methods. Short papers may also document late breaking ideas early progress on novel concepts. Lightning talks are encouraged to present preliminary works or ideas to foster discussion with the community. Full and short papers will appear in the workshop proceedings and authors will be invited to give an oral presentation at the workshop; lightning talks will be invited to give brief oral presentations at the workshop. Submissions of all types may identify opportunities， Intelligent Light。
Data Center or Edge. Review Process All submissions will undergo a peer-review process consisting of three reviews by experts in the field， some subset of the accepted publications will be invited to give a brief oral presentation at the workshop. The exact number of such presentations and their length will be determined after the review process has been completed. Instructions for Authors of Accepted Papers Please see the instructions for authors of workshop papers from SC Timeline/Important Dates 08 Aug 2025 Paper submission deadline 15 Aug 2025 Paper submission deadline (extended) 05 Sep 2025 Author notification 22 Sep 2025 Camera ready copy due (note: this deadline is FIRM) 16 Nov 2025 ISAV’25 workshop at SC25 (morning) Committees and ChairsChairs General chair: Axel Huebl， Jülich Supercomputing Centre Publicity chair: Matthew Larsen， practitioners， France Earl Duque， Argonne National Laboratory， ML training) and scientific visualization using data-driven。