Scalable Mesh Coupling for Atmospheric Wave Simulation

2026-03-03

AI Summary

This work proposes a scalable parallel interpolation algorithm to address the challenge of data consistency across multiple solvers in overlapping grid regions for atmospheric wave simulations. The method enables efficient, in situ data coupling between solvers by introducing a grid-coupling mechanism tailored for large-scale parallel environments, ensuring global solution consistency while balancing computational efficiency and communication overhead. Evaluated in realistic atmospheric wave simulation scenarios, the algorithm demonstrates strong scalability and high performance, significantly improving both the accuracy and efficiency of data exchange among multiphysics solvers.

Technology Category

• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Data Mining & Knowledge Management: Scalability, Parallel & Distributed Systems
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

We describe the application of a scalable algorithm for interpolating solution data in the overlapping mesh region of two solvers. This feature is essential to obtain a globally consistent solution for in-situ coupled atmospheric wave simulation. We provide timings and discuss a real-world application run.

Problem

• scalable mesh coupling
• atmospheric wave simulation
• overlapping mesh
• in-situ coupling
• global consistency

Innovation

• scalable mesh coupling
• atmospheric wave simulation
• overlapping mesh interpolation
• in-situ coupling
• global consistency