From Multiscale Simulations to Real-Time Disaster Response: Seven Computational Challenges in ChEESE-2P

As the ChEESE-2P project advances the frontiers of geohazard research through high-performance computing (HPC), it faces several computational challenges. Here are seven critical hurdles the project is tackling to push the boundaries of exascale computing.

Multiscale and Multiphysics Simulations

ChEESE-2P aims to integrate multiple scales and physical processes within a single simulation framework. This involves combining local phenomena, like earthquake fault ruptures, with large-scale processes, such as tsunami propagation across oceans. The challenge is to ensure that simulations maintain accuracy and efficiency across these vastly different scales

Complex Data Assimilation and Uncertainty Quantification

Managing the inherent uncertainties in geophysical data and models is a significant challenge. ChEESE-2P addresses this by employing ensemble-based data assimilation techniques and probabilistic frameworks, which require massive computational resources and sophisticated algorithms to produce reliable predictions​​.

High-Resolution Subsurface Imaging

Achieving high-resolution imaging of the Earth’s subsurface, crucial for seismic and volcanic hazard assessment, involves intensive computations. The project leverages full-waveform inversion and joint gravity-seismic multi-parameter inversion to improve the accuracy of subsurface models, despite the high computational cost​​.

Simulation of Rare and Extreme Events

Simulating rare but high-impact events, such as large-scale volcanic eruptions or major earthquakes, poses a significant computational challenge. These events require detailed modeling of complex physical interactions over long time scales, necessitating robust and scalable HPC solutions​​.

Real-Time Urgent Computing for Disaster Response

During disasters like earthquakes or tsunamis, rapid computational response is critical. ChEESE-2P is developing urgent computing workflows that can run on EuroHPC systems, delivering near-real-time simulations to support emergency management and decision-making​​.

Optimization for Emerging Hardware Architectures

To fully exploit the capabilities of exascale systems, ChEESE-2P optimizes its flagship codes for various hardware architectures, including GPUs and new accelerator technologies. This involves significant code refactoring and the development of performance-portable solutions​​.

Integration and Interoperability of Diverse Codes and Workflows

The project brings together a variety of geophysical codes, each with unique requirements and outputs. Ensuring these codes work seamlessly together within integrated workflows, while maintaining high performance and accuracy, is a major challenge that ChEESE-2P addresses through modular and containerized approaches​​.

By overcoming these computational challenges, ChEESE is trying to help the resilience of societies to geohazards through improved predictive capabilities and rapid response systems. The project’s success in these areas underscores the critical role of HPC in addressing complex, real-world problems.

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