This workshop highlights the critical role of high-performance visualization tools in supporting the exploration and analysis of both simulations and observational data, particularly in astrophysics and cosmology. However, modern A&C projects generate vast volumes of data, which requires advanced software tools for effective data access, storage, and analysis. Implementing high-performance visualization tools on diverse high-performance computing (HPC) platforms presents several challenges, including hardware and software compatibility, data management, scalability, performance portability, and efficient resource allocation.
This workshop will present various strategies to address these challenges, as well as the advances we have made in developing high-performance visualization tools within the SPACE framework. Furthermore, data visualization is a discipline with principles and techniques that are applicable across different fields. Therefore, our work has broader relevance and can be extended to problems in domains beyond A&C. In this context, we will discuss approaches such as distributed visualization in heterogeneous architectures, parallel cinematic volume visualization, in-situ visualization, and visualization methods for machine learning-assisted analysis.
This workshop is an initiative of the SPACE Center of Excellence, an EU-funded project aimed at enabling flagship European Astrophysics and Cosmology (A&C) simulation codes to run efficiently on pre-exascale and exascale computer architectures.
