A fast GPU based bidiagonal solver for computational aeroacoustics

DOI10.1016/j.cma.2014.12.020zbMath1423.76318OpenAlexW1985135191MaRDI QIDQ1798873

Shuming Miao, Xin Zhang, Oswald G. Parchment, Xiaoxian Chen

Publication date: 23 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.cma.2014.12.020

zbMATH Keywords

computational aeroacousticsGPUprefactored compact schemebidiagonal matrixanisotropic memory access

Mathematics Subject Classification ID

Finite difference methods applied to problems in fluid mechanics (76M20) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Hydro- and aero-acoustics (76Q05) Numerical algorithms for specific classes of architectures (65Y10)

Uses Software

• CUDA

Cites Work

• Aircraft noise and its nearfield propagation computations
• Dispersion-relation-preserving finite differene schemes for computational acoustics
• Compact finite difference schemes with spectral-like resolution
• A parallel version of the cyclic reduction algorithm on a hypercube
• Optimized prefactored compact schemes.
• Low-dissipation and low-dispersion Runge-Kutta schemes for computational acoustics
• A GPU application for high-order compact finite difference scheme
• Parallelization of the finite-difference time-domain method for room acoustics modelling based on CUDA
• Large calculation of the flow over a hypersonic vehicle using a GPU
• A Parallel and Vector Variant of the Cyclic Reduction Algorithm
• Prefactored small-stencil compact schemes

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