Finite Element Integration on GPUs

DOI10.1145/2427023.2427027zbMath1298.65176arXiv1103.0066OpenAlexW3122718397WikidataQ113310355 ScholiaQ113310355MaRDI QIDQ3189666

Matthew G. Knepley, A. R. Terrel

Publication date: 12 September 2014

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1103.0066

zbMATH Keywords

Laplacianelasticity operatorfinite element integration

Mathematics Subject Classification ID

Classical linear elasticity (74B05) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation (35J05)

Related Items (10)

On Memory Traffic and Optimisations for Low-order Finite Element Assembly Algorithms on Multi-core CPUs ⋮ Vectorized OpenCL implementation of numerical integration for higher order finite elements ⋮ Numerical integration on GPUs for higher order finite elements ⋮ A GPU parallelized spectral method for elliptic equations in rectangular domains ⋮ Rapid development and adjoining of transient finite element models ⋮ Finite element numerical integration for first order approximations on multi- and many-core architectures ⋮ GPU accelerated computation of the isogeometric analysis stiffness matrix ⋮ GPU accelerated spectral finite elements on all-hex meshes ⋮ GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review ⋮ Acceleration strategies for explicit finite element analysis of metal powder-based additive manufacturing processes using graphical processing units

Uses Software

• CUDA
• CUBLAS
• CUSP
• CUSPARSE
• PyCUDA
• Thrust
• Mako

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