Towards Parallel CFD computation for the ADAPT framework

TL;DR

This paper explores parallel computing strategies for the ADAPT CFD framework, focusing on mesh partitioning and solver performance to enable large-scale 3D simulations and future service-oriented architectures.

Contribution

It introduces parallelization techniques for ADAPT, integrating MUMPS and METIS to optimize mesh partitioning and solver efficiency for large-scale CFD computations.

Findings

Mesh partitioning improves solver performance.

Parallel solver integration enhances scalability.

Framework development supports 3D CFD simulations.

Abstract

In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate the ADAPT platform where we couple flow Partial Differential Equations and a Poisson equation. This leads to a linear system which we solve using direct methods. The implementation deals with the MUMPS parallel multi-frontal direct solver and mesh partitioning methods using METIS to improve the performance of the framework. We also investigate, in this paper, how the mesh partitioning methods are able to optimize the mesh cell distribution for the ADAPT solver. The experience gained in this paper facilitates the move to the 3D version of ADAPT and the move to a Service Oriented view of ADAPT as future work.