In situ visualization of regional-scale natural hazards with Galaxy and Material Point Method

TL;DR

This paper presents a scalable in situ visualization approach for regional-scale landslides using Material Point Method and Galaxy, enabling real-time rendering with minimal performance impact.

Contribution

It introduces a scalable N:M interface architecture for in situ visualization of large-scale landslide simulations, demonstrated on a real-world event.

Findings

Successfully visualized 4.2 million material points in real-time

Achieved only 2% runtime increase with in situ visualization

Enabled scalable visualization of regional-scale natural hazards

Abstract

Visualizing regional-scale landslides is essential to conveying the threat of natural hazards to stakeholders and policymakers. Traditional visualization techniques are restricted to post-processing a limited subset of simulation data and are not scalable to rendering regional-scale models. In situ visualization is a technique of rendering simulation data in real-time, i.e., rendering visuals in tandem while the simulation is running. This study develops a scalable N:M interface architecture to visualize regional-scale landslides. We demonstrate the scalability of the architecture by simulating the long runout of the 2014 Oso landslide using the Material Point Method coupled with the Galaxy ray tracing engine rendering 4.2 million material points as spheres. In situ visualization has an amortized runtime increase of 2% compared to non-visualized simulations. The developed approach can achieve in situ visualization of regional-scale landslides with minimal impact on the simulation process.