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A comparative study of scalable multilevel preconditioners for cardiac mechanics
Indexado
WoS WOS:001070343600001
Scopus SCOPUS_ID:85171613518
DOI 10.1016/J.JCP.2023.112421
Año 2023
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



In this work, we provide a performance comparison between the Balancing Domain Decomposition by Constraints (BDDC) and the Algebraic Multigrid (AMG) preconditioners for cardiac mechanics on both structured and unstructured finite element meshes. The mechanical behavior of myocardium can be described by the equations of threedimensional finite elasticity, which are discretized by finite elements in space and yield the solution of a large scale nonlinear algebraic system. This problem is solved by a Newton-Krylov method, where the solution of the Jacobian linear system is accelerated by BDDC/AMG preconditioners. We thoroughly explore the main parameters of the BDDC preconditioner in order to make the comparison fair. We focus on: the performance of different direct solvers for the local and coarse problems of the BDDC algorithm; the impact of the different choices of BDDC primal degrees of freedom; and the influence of the finite element degree. Scalability tests are performed on Linux clusters up to 1024 processors, and we conclude with a performance study on a realistic electromechanical simulation.& COPY; 2023 Elsevier Inc. All rights reserved.

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Disciplinas de Investigación



WOS
Computer Science, Interdisciplinary Applications
Physics, Mathematical
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Barnafi, Nicolas A. Hombre Pontificia Universidad Católica de Chile - Chile
2 Pavarino, Luca F. - Univ Pavia - Italia
Università degli Studi di Milano - Italia
Università degli Studi di Pavia - Italia
3 Scacchi, Simone Mujer Univ Milan - Italia
Università degli Studi di Milano - Italia

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Financiamiento



Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
MIUR
Ministero dell’Istruzione, dell’Università e della Ricerca
Istituto Nazionale di Alta Matematica "Francesco Severi"
Università degli Studi di Milano
CINECA
Università degli Studi di Pavia
Agencia Nacional de Investigación y Desarrollo
INdAM-GNCS
ANID Grant FONDECYT de Postdoctorado
INDACO
INdAM–GNCS

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
We would like to thank Stefano Zampini for his help in making an efficient use of the BDDC preconditioner in PETSc. N. Barnafi and L. F. Pavarino have been supported by grants of MIUR (PRIN 2017AXL54F_002) and INdAM-GNCS. N. Barnafi and S. Scacchi have been supported by grants of MIUR (PRIN 2017AXL54F_003) and INdAM-GNCS. N. Barnafi was supported by the ANID Grant FONDECYT de Postdoctorado N degrees 3230326 . The Authors are also grateful to the University of Pavia, the University of Milan, and the CINECA laboratory for the usage of the EOS, INDACO and Galileo100 clusters, respectively.
We would like to thank Stefano Zampini for his help in making an efficient use of the BDDC preconditioner in PETSc. N. Barnafi and L. F. Pavarino have been supported by grants of MIUR (PRIN 2017AXL54F_002 ) and INdAM–GNCS . N. Barnafi and S. Scacchi have been supported by grants of MIUR (PRIN 2017AXL54F_003 ) and INdAM-GNCS . N. Barnafi was supported by the ANID Grant FONDECYT de Postdoctorado N° 3230326 . The Authors are also grateful to the University of Pavia, the University of Milan, and the CINECA laboratory for the usage of the EOS, INDACO and Galileo100 clusters, respectively.
We would like to thank Stefano Zampini for his help in making an efficient use of the BDDC preconditioner in PETSc. N. Barnafi and L. F. Pavarino have been supported by grants of MIUR (PRIN 2017AXL54F_002 ) and INdAM–GNCS . N. Barnafi and S. Scacchi have been supported by grants of MIUR (PRIN 2017AXL54F_003 ) and INdAM-GNCS . N. Barnafi was supported by the ANID Grant FONDECYT de Postdoctorado N° 3230326 . The Authors are also grateful to the University of Pavia, the University of Milan, and the CINECA laboratory for the usage of the EOS, INDACO and Galileo100 clusters, respectively.

Muestra la fuente de financiamiento declarada en la publicación.