GPU acceleration for FEM-based structural analysis

DOI10.1007/s11831-013-9082-8zbMath1354.65246OpenAlexW1970589747WikidataQ113323866 ScholiaQ113323866MaRDI QIDQ503889

Hiroshi Okuda, Serban Georgescu, Peter Chow

Publication date: 24 January 2017

Published in: Archives of Computational Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11831-013-9082-8

Mathematics Subject Classification ID

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

Related Items (5)

A fine-grained block ILU scheme on regular structures for GPGPUs ⋮ BIM-enabled structural design: impacts and future developments in structural modelling, analysis and optimisation processes ⋮ Finite element numerical integration for first order approximations on multi- and many-core architectures ⋮ Using image processing techniques in computational mechanics ⋮ Acceleration strategies for explicit finite element analysis of metal powder-based additive manufacturing processes using graphical processing units

Uses Software

• ANSYS
• PaStiX
• LS-DYNA
• CUDA
• PETSc
• CHOLMOD
• ViennaCL
• OpenCL
• CUSP
• CULA
• BCSLIB-EXT
• LAMA
• LAToolbox
• MatrixPro-GSS
• RADIOSS

Cites Work

• Cusp forms
• Towards a complete FEM-based simulation toolkit on GPUs: unstructured grid finite element geometric multigrid solvers with strong smoothers based on sparse approximate inverses
• Assembly of finite element methods on graphics processors
• Conjugate gradients on multiple GPUs
• Multifrontal Computations on GPUs and Their Multi-core Hosts
• Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations

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