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 to the golden era of coprocessing in the 1990s. In situ coupling of analysis and visualization to a live simulation circumvents writing raw data to disk for post-mortem 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:
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.
Please feel free to reach out to the organizers via email@example.com.