8th International Workshop on In Situ Visualization

Thursday, May 16, 2024
9:00 am - 1:00 pm
Held in conjunction with ISC High Performance 2024.


Organized by James Kress, Francois Mazen, and the WOIV team.

Workshop Theme

Large-scale HPC simulations with their inherent I/O bottleneck have made in situ visualization an essential approach for data analysis. Although the idea of in situ visualization dates back decades, it is particularly valuable on today’s I/O constrained HPC systems. In situ coupling of analysis and visualization to a live simulation circumvents writing raw data to disk for postmortem analysis – an approach that is already inefficient for today’s very large simulation codes. Instead, with in situ visualization, data abstracts are generated that provide a much higher level of expressiveness per byte. Therefore, more details can be computed and stored for later analysis, providing more insight than traditional methods.

We encourage contributed talks on methods and workflows that have been used for large-scale parallel visualization, with a particular focus on the in situ case. Presentations on codes that closely couple numerical methods and visualization are particularly welcome. 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. Presentations on codes that closely couple numerical methods and visualization are particularly welcome. Speakers should detail frameworks used and data reductions applied. They should also indicate how these impacted the 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 customers.

For the submissions we are not only looking for success stories, but are also particularly interested in those experiments that started with a certain goal or idea in mind, but later got shattered by reality or insufficient hardware/software.

Areas of interest for WOIV include, but are not limited to:

  • Techniques and paradigms for in situ visualization.
  • Algorithms relevant to in situ visualization. These could include algorithms empowered by in situ visualization or algorithms that overcome limitations of in situ visualization.
  • Systems and software implementing in situ visualization. These include both general purpose and bespoke implementations. This also includes updates to existing software as well as new software.
  • Workflow management.
  • Use of in situ visualization for application science or other examples of using in situ visualization.
  • Performance studies of in situ systems. Comparisons between in situ systems or techniques or comparisons between in situ and alternatives (such as post hoc) are particularly encouraged.
  • The use of in situ approaches to experiment, sensor, and other real-world data collection sources.
  • The use of data-reduction or compression for information capture.
  • Run time ML modeling of simulation or data.
  • The impact of hardware changes on in situ visualization.
  • The online visualization of experimental data.
  • Reports of in situ visualization failures.
  • Emerging issues with in situ visualization.


May 16, 2024 · Hamburg, Germany
Times: CEST

Papers and Slides

Welcome Address
9:00 AM – 9:05 AM
9:05 AM – 10:00 AM
Estelle Dirand, TotalEnergies:
Challenges of In Situ Processing for Energies
Paper Session 1 (Session Chair James Kress)
10:00 AM – 11:00 AM
  • François Mazen, Louis Gombert, Lucas Givord and Charles Gueunet:
    In Situ In Transit Hybrid Analysis with Catalyst-ADIOS2
  • Marcel Krüger, Jan Frieder Milke, Torsten Kuhlen and Tim Gerrits:
    InsitUE - Enabling Hybrid In-situ Visualizations through Unreal Engine and Catalyst
Coffee Break
11:00 AM – 11:30 AM
Paper Session 2 (Session Chair Francois Mazen)
11:30 AM – 12:15 PM
  • Kristi Belcher, David Beckingsale, Marty McFadden and Nicole Marsaglia:
    Using Umpire In-Situ For Improved Memory Performance
  • Dennis Grieger:
    Interactive In Situ Visualization
In Situ Updates
12:15 PM – 12:45 PM
  • Ascent, Catalyst, NVIDIA
Closing Remarks
12:45 PM – 1:00 PM


We accept submissions of short papers (6 to 8 pages), full papers (10 to 12 pages) and lightning presentations (2 to 4 pages) in Springer single column LNCS style. Please find LaTeX and Word templates here.

Submissions are exclusively handled via EasyChair. The review process is single or double blind, we leave it to the discretion of the authors whether they want to disclose their identity in their submissions.

All submissions will be peer-reviewed by experts in the field, and will be evaluated according to relevance to the workshop theme, technical soundness, thoroughness of success/failure comparison, and impactfulness of method/results. Accepted short and full papers will appear as post-conference workshop proceedings in the Springer Lecture Notes in Computer Science (LNCS) series; lightning presentations will be published via Zenodo. The submitted versions will be made available to workshop participants during ISC.


Important dates

Extended Submission deadline
Mar 10, 2024 – Mar 10, 2024
Submissions are exclusively handled via EasyChair.
Notification of acceptance
Mar 29, 2024 – Mar 29, 2024
Early Bird registration deadline (estimated from past years, see ISC website)
Apr 1, 2024 – Apr 1, 2024
Workshop day
May 16, 2024 – May 16, 2024
Camera-ready version due
Jun 17, 2024 – Jun 17, 2024


Please feel free to reach out to the organizers via woiv@googlegroups.com.



François Mazen

Kitware Europe


James Kress

Visualization Core Lab, KAUST

Steering Committee


Guido Reina

Visualization Research Center, University of Stuttgart


Kenneth Moreland

Oak Ridge National Laboratory


Steffen Frey

University of Groningen


Thomas Theussl

Visualization Core Lab, KAUST


Tom Vierjahn

Westphalian University of Applied Sciences


Andy Bauer

US Army Corps Of Engineers

Berk Geveci

Kitware Inc.

E. Wes Bethel

San Francisco State University

Ingrid Hotz

Linköping University

Jose Camata

Federal University of Juiz de Fora

Nicole Marsaglia

Lawrence Livermore National Laboratory

Shaomeng Li

National Center for Atmospheric Research

Silvio Rizzi

Argonne National Laboratory

Tim Gerrits

RWTH Aachen

Invited Speakers


Estelle Dirand




Dennis Grieger

High-Performance Computing Center Stuttgart


François Mazen

Kitware Europe


Kristi Belcher

Lawrence Livermore National Laboratory


Marcel Krüger

RWTH Aachen University