IEEE VIS 2024 Content: DaVE - A Curated Database of Visualization Examples

DaVE - A Curated Database of Visualization Examples

Jens Koenen - RWTH Aachen University, Aachen, Germany

Marvin Petersen - RPTU Kaiserslautern-Landau, Kaiserslautern, Germany

Christoph Garth - RPTU Kaiserslautern-Landau, Kaiserslautern, Germany

Tim Gerrits - RWTH Aachen University, Aachen, Germany

Screen-reader Accessible PDF
Download preprint PDF
Download camera-ready PDF

Room: Bayshore VI

2024-10-16T17:45:00ZGMT-0600Change your timezone on the schedule page
2024-10-16T17:45:00Z
Exemplar figure, described by caption below
Through a modern web interface, DaVE provides access to an extensible database of visualization examples that demonstrate advanced and state-of-the-art visualization methods. Each example comes with descriptions, references and containerized code for an easy deployment on various hardware configurations, ranging from laptops to complex HPC systems.
Fast forward
Keywords

Visualization, Curated Database, High-Performance Computing

Abstract

Visualization, from simple line plots to complex high-dimensional visual analysis systems, has established itself throughout numerous domains to explore, analyze, and evaluate data. Applying such visualizations in the context of simulation science where High-Performance Computing (HPC) produces ever-growing amounts of data that is more complex, potentially multidimensional, and multi-modal, takes up resources and a high level of technological experience often not available to domain experts. In this work, we present DaVE - a curated database of visualization examples, which aims to provide state-of-the-art and advanced visualization methods that arise in the context of HPC applications. Based on domain- or data-specific descriptors entered by the user, DaVE provides a list of appropriate visualization techniques, each accompanied by descriptions, examples, references, and resources. Sample code, adaptable container templates, and recipes for easy integration in HPC applications can be downloaded for easy access to high-fidelity visualizations. While the database is currently filled with a limited number of entries based on a broad evaluation of needs and challenges of current HPC users, DaVE is designed to be easily extended by experts from both the visualization and HPC communities.