Towards Scalable Out-of-Core Volume Rendering for High-Performance Visualization of 3D Temporal Multivariate Gas and Fluid Data

Scientific visualization enables a deeper insight into the data structure and properties. For Gas and fluid simulations, particularly those resulting from real-world gas captures or Computational Fluid Dynamics (CFD) models, this requires the analysis and integration of multivariate attributes alongside dynamic temporal variations. We present an ongoing work to develop a scalable, Out-of-core volume rendering application designed for massive 3D temporal multivariate datasets. Our rendering framework, called FRIGAS (Fluid Rendering Infrastructure for Gas and Atmospheric Simulations), introduces a novel pipeline which leverages improvements in Direct Volume Rendering (DVR) techniques for large scale visualizations, addressing constraints regarding temporal structured data and multivariate analysis for interactive spatial and temporal navigation without HPC resources.