Parallel multiphysics simulation for the stabilized Optimal Transportation Meshfree (OTM) method

authored by: Sandeep Kumar, Pierre Gosselet, Dengpeng Huang, Christian Weißenfels, Peter Wriggers
Abstract: This paper presents a parallel 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.
Organisation(s): Institute of Continuum Mechanics
External Organisation(s): Lille 1 University of Science and Technology
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
University of Augsburg
Type: Article
Journal: Journal of computational science
Volume: 62
ISSN: 1877-7503
Publication date: 07.2022
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Theoretical Computer Science, General Computer Science, Modelling and Simulation
Electronic version(s): https://doi.org/10.1016/j.jocs.2022.101739 (Access: Closed)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{200d0d00210c448ca3405effa54e8f4a,
title = "Parallel multiphysics simulation for the stabilized Optimal Transportation Meshfree (OTM) method",
abstract = "This paper presents a parallel 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.",
keywords = "Dynamic, MPI, Optimal Transportation Meshfree Method, Parallel computing",
author = "Sandeep Kumar and Pierre Gosselet and Dengpeng Huang and Christian Wei{\ss}enfels and Peter Wriggers",
note = "Funding Information: Funding supports from Deutsche Forschungsgemeinschaft DFG within the research training centre ViVaCE ( IRTG 1627 ), French-German doctoral college {\textquoteright}Sophisticated Numerical and Testing Approaches{\textquoteright} (SNTA) and Graduierten Akademie-Leibniz Universit{\"a}t Hannover is gratefully acknowledged.",
year = "2022",
month = jul,
doi = "10.1016/j.jocs.2022.101739",
language = "English",
volume = "62",
journal = "Journal of computational science",
issn = "1877-7503",
publisher = "Elsevier",
}