Numerical integration on GPUs for higher order finite elements

DOI10.1016/j.camwa.2014.01.021zbMath1382.65064arXiv1310.1191OpenAlexW2020861426MaRDI QIDQ316638

Przemysław Płaszewski, Paweł Macioł, Krzysztof Banas

Publication date: 27 September 2016

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.1191

zbMATH Keywords

numerical integrationfinite element methodGPUgraphics processorshigher order approximationopenCL

Mathematics Subject Classification ID

Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Numerical integration (65D30) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (6)

Numerical integration on GPUs for higher order finite elements ⋮ Concurrent algorithm for integrating three-dimensional B-spline functions into machines with shared memory such as GPU ⋮ Finite element numerical integration for first order approximations on multi- and many-core architectures ⋮ GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review ⋮ GPU-Accelerated Discontinuous Galerkin Methods on Polytopic Meshes ⋮ AutoMat: automatic differentiation for generalized standard materials on GPUs

Uses Software

• CUDA
• DOLFIN
• FEniCS
• OpenCL
• ITER-REF
• ModFem

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