Parallel Multiphysics Simulation for the Stabilized Optimal Transportation Meshfree (OTM)

TL;DR

This paper introduces a scalable parallel implementation of the Optimal Transportation Meshfree method on large CPU clusters, utilizing MPI, domain decomposition, and innovative strategies to reduce computational effort in complex multiphysics simulations.

Contribution

The work presents three novel concepts—dynamic halo regions, advanced data management, and nearest neighborhood communication—for efficient parallel multiphysics simulations.

Findings

Achieved scalable parallel performance for complex multiphysics applications

Implemented dynamic load balancing and communication strategies

Reduced computational efforts with new data management techniques

Abstract

This paper presents a parallel \PG{implementation} for the Optimal Transportation Meshfree (OTM) method on large CPU clusters. Communications are handled with the Message Passing Interface (MPI). The Recursive Coordinate Bisection (RCB) algorithm is utilized for domain decomposition and for implementing dynamic load-balancing strategy. This work involves three new concepts to reduce the computational efforts: Dynamic halo regions, Efficient data management strategies for ease of addition and deletion of nodes and material points using advanced STL container, and nearest neighborhood communication for detection of neighbors and communication. Also, Linked Cell approach has been implemented to further reduce the computational efforts. Parallel performance analysis is investigated for challenging multiphysics applications like Taylor rod impact and serrated chip formation process. Adequate scalability of parallel implementation for these applications is reported.