Parallel assembly of finite element matrices on multicore computers

DOI10.1016/J.CMA.2024.117076MaRDI QIDQ6566047

P. Krysl

Publication date: 3 July 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

finite element methodsparse matrixparallel assemblymulticore computer

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Parallel numerical computation (65Y05)

Cites Work

• Architecting the finite element method pipeline for the GPU
• Finite element numerical integration for first order approximations on multi- and many-core architectures
• A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units
• Generation of large finite-element matrices on multiple graphics processors
• A new sparse matrix vector multiplication graphics processing unit algorithm designed for finite element problems
• Julia: A Fresh Approach to Numerical Computing
• Assembly of finite element methods on graphics processors
• WorkStream -- A Design Pattern for Multicore-Enabled Finite Element Computations
• Locking-free continuum displacement finite elements with nodal integration
• Templates for the Solution of Algebraic Eigenvalue Problems
• A Parallel Graph Coloring Heuristic
• Finite element assembly strategies on multi‐core and many‐core architectures
• On Memory Traffic and Optimisations for Low-order Finite Element Assembly Algorithms on Multi-core CPUs
• The \texttt{deal.II} library, version 9.5
• Parallel implementation of implicit finite element model with cohesive zones and collision response using CUDA

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