Details
Originalsprache | Englisch |
---|---|
Aufsatznummer | 101739 |
Fachzeitschrift | Journal of computational science |
Jahrgang | 62 |
Frühes Online-Datum | 14 Juni 2022 |
Publikationsstatus | Veröffentlicht - Juli 2022 |
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.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Mathematik (insg.)
- Modellierung und Simulation
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in: Journal of computational science, Jahrgang 62, 101739, 07.2022.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Parallel multiphysics simulation for the stabilized Optimal Transportation Meshfree (OTM) method
AU - Kumar, Sandeep
AU - Gosselet, Pierre
AU - Huang, Dengpeng
AU - Weißenfels, Christian
AU - Wriggers, Peter
N1 - Funding Information: Funding supports from Deutsche Forschungsgemeinschaft DFG within the research training centre ViVaCE ( IRTG 1627 ), French-German doctoral college ’Sophisticated Numerical and Testing Approaches’ (SNTA) and Graduierten Akademie-Leibniz Universität Hannover is gratefully acknowledged.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - Dynamic
KW - MPI
KW - Optimal Transportation Meshfree Method
KW - Parallel computing
UR - http://www.scopus.com/inward/record.url?scp=85132926005&partnerID=8YFLogxK
U2 - 10.1016/j.jocs.2022.101739
DO - 10.1016/j.jocs.2022.101739
M3 - Article
AN - SCOPUS:85132926005
VL - 62
JO - Journal of computational science
JF - Journal of computational science
SN - 1877-7503
M1 - 101739
ER -