DaVE - A Curated Database of Visualization Examples
IEEE Visualization and Visual Analytics (VIS), pp. 11–15
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 multimodal, 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.
Authors 3
-
RWTH Aachen University · Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Affiliation as printed
RWTH Aachen University,Germany
RPTU Kaiserslautern-Landau, Germany
RWTH Aachen University, Germany
-
Christoph Garth Aachen
RWTH Aachen University · Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Affiliation as printed
RPTU Kaiserslautern-Landau,Germany
RPTU Kaiserslautern-Landau, Germany
RWTH Aachen University, Germany
-
Tim Gerrits Aachen
RWTH Aachen University · Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Affiliation as printed
RWTH Aachen University,Germany
RPTU Kaiserslautern-Landau, Germany
RWTH Aachen University, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).