Fundamental data structures for matrix-free finite elements on hybrid tetrahedral grids-Reference-Cited by-同舟云学术

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Fundamental data structures for matrix-free finite elements on hybrid tetrahedral grids

Published:2023-10-10 Issue:1 Volume:39 Page:51-74
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Kohl Nils¹,Bauer Daniel¹²,Böhm Fabian¹²,Rüde Ulrich¹³^ORCID

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

2. Erlangen National High Performance Computing Center (NHR@FAU), Erlangen, Germany

3. Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Toulouse, France

Funder

BMBF

NHR-Verein e.V.

High Performance Computing Center Stuttgart

NHR

German Research Foundation

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2023.2266875

Reference63 articles.

1. Burstedde C Ghattas O Gurnis M et al. Scalable adaptive mantle convection simulation on petascale supercomputers. In: 2008 SC – International Conference for High Performance Computing Networking Storage and Analysis; Austin (TX): IEEE; Nov 2008. p. 1–15.

2. Bauer S Bunge HP Drzisga D et al. TerraNeo – Mantle convection beyond a trillion degrees of freedom. In: Bungartz HJ Reiz S Uekermann B et al. editors. Software Exascale Computing – SPPEXA 2016-2019; Springer; 2020. p. 569–610. (Lecture Notes in Computational Science and Engineering; Vol. 136).

3. A quantitative performance study for Stokes solvers at the extreme scale

4. Textbook Efficiency: Massively Parallel Matrix-Free Multigrid for the Stokes System

5. A Massively Parallel Multigrid Method for Finite Elements

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numerical Studies on Coupled Stokes-Transport Systems for Mantle Convection;Lecture Notes in Computer Science;2024

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