DaVE -- A Curated Database of Visualization Examples

TL;DR

DaVE is a curated database providing advanced visualization techniques tailored for high-performance computing applications, aiding domain experts in selecting and implementing suitable visualizations for complex HPC data.

Contribution

It introduces a comprehensive, extendable database of visualization examples specifically designed for HPC, with resources and code to facilitate easy integration.

Findings

Provides tailored visualization techniques for HPC data

Includes sample code and integration resources

Designed for easy extension by experts

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.