Efficient partitioning and reordering of conforming virtual element discretizations for large scale Discrete Fracture Network flow parallel solvers

TL;DR

This paper evaluates advanced partitioning and reordering strategies for conforming virtual element discretizations, significantly improving the efficiency and scalability of large-scale Discrete Fracture Network flow simulations on high-performance computing systems.

Contribution

It introduces and compares novel partitioning and reordering methods that outperform traditional mesh partitioning in large-scale geological flow simulations.

Findings

Partitioning strategies significantly improve parallel efficiency.

Reordering methods enhance scalability of DFN flow solvers.

Proposed approaches outperform classical mesh partitioning techniques.

Abstract

Discrete Fracture Network models are largely used for very large scale geological flow simulations. For this reason numerical methods require an investigation of tools for efficient parallel solutions on High Performance Computing systems. In this paper we discuss and compare several partitioning and reordering strategies, that result to be highly efficient and scalable, overperforming the classical mesh partitioning approach used to partition a conforming mesh among several processes.