10th International Workshop on In Situ Visualization
Friday, June 26, 2026 9:00 AM to 1:00 PM · 4 hr. (Europe/Berlin)
Hall 10 - 1st Floor
Workshop
EngineeringNovel AlgorithmsOptimizing for Energy and PerformanceVisualization and Virtual Reality
Information
The ever-increasing scale of today's HPC simulations, with their inherent I/O bottleneck, makes in situ an essential approach for data analysis. Nowadays, the rate of data generation significantly exceeds the available bandwidth of storage capabilities. Consequently, analysis and visualization have to be coupled in situ to a live simulation to facilitate comprehensive investigation. In doing so, data abstracts are generated that capture much more information than otherwise possible.
The "International Workshop on In Situ Visualization" provides a venue for speakers to share practical expertise and experience with in situ visualization approaches. We encourage contributed talks on methods and workflows that have been applied in this field. Speakers should detail if and how the application drove abstractions or other kinds of data reductions and how these interacted with the expressiveness and flexibility of the visualization for exploratory analysis.
Of particular interest to WOIV and its attendees are recent developments for in situ libraries and software. Submissions documenting recent additions to existing in situ software or new in situ platforms are highly encouraged. WOIV is an excellent place to connect providers of in situ solutions with potential users.
As in the previous years, for this 10th edition of the workshop, we also strongly encourage submissions on approaches that either did not work at all or did not live up to their expectations. We therefore expect to get first-hand reports on lessons learned and pitfalls to be avoided.
Our goal is to appeal to a wide-ranging audience of computational scientists, visualization scientists, and simulation developers, who closely collaborate to develop, deploy, and maintain in situ visualization approaches on HPC infrastructures. We hope to provide practical take-away techniques and insights that serve as inspiration for attendees to implement or refine in their own HPC environments and to avoid pitfalls.
Organizers:
The "International Workshop on In Situ Visualization" provides a venue for speakers to share practical expertise and experience with in situ visualization approaches. We encourage contributed talks on methods and workflows that have been applied in this field. Speakers should detail if and how the application drove abstractions or other kinds of data reductions and how these interacted with the expressiveness and flexibility of the visualization for exploratory analysis.
Of particular interest to WOIV and its attendees are recent developments for in situ libraries and software. Submissions documenting recent additions to existing in situ software or new in situ platforms are highly encouraged. WOIV is an excellent place to connect providers of in situ solutions with potential users.
As in the previous years, for this 10th edition of the workshop, we also strongly encourage submissions on approaches that either did not work at all or did not live up to their expectations. We therefore expect to get first-hand reports on lessons learned and pitfalls to be avoided.
Our goal is to appeal to a wide-ranging audience of computational scientists, visualization scientists, and simulation developers, who closely collaborate to develop, deploy, and maintain in situ visualization approaches on HPC infrastructures. We hope to provide practical take-away techniques and insights that serve as inspiration for attendees to implement or refine in their own HPC environments and to avoid pitfalls.
Organizers:
Format
on-site
Targeted Audience
The workshop appeals to computational scientists, visualization scientists, and simulation developers who collaborate on in situ visualization approaches for HPC infrastructures. We provide practical techniques and insights to inspire attendees to implement or refine solutions in their own HPC environments and avoid common pitfalls.
Beginner Level
20%
Intermediate Level
60%
Advanced Level
20%
