GPGPU implementation of mixed spectral-finite difference computational code for the numerical integration of the three-dimensional time-dependent incompressible Navier–Stokes equations-Reference-Cited by-同舟云学术

GPGPU implementation of mixed spectral-finite difference computational code for the numerical integration of the three-dimensional time-dependent incompressible Navier–Stokes equations

Published:2014-10 Issue: Volume:102 Page:237-249
ISSN:0045-7930
Container-title:Computers & Fluids
language:en
Short-container-title:Computers & Fluids

Author:

Alfonsi Giancarlo,Ciliberti Stefania A.,Mancini Marco,Primavera Leonardo

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference55 articles.

1. Recent advances in parallel spectral element simulation of unsteady incompressible flows;Fischer;Comput Struct,1988

2. A computational fluid dynamics algorithm on a massively parallel computer;Jespersen;Int J Supercomp Appl,1989

3. The parallel Fourier pseudo-spectral method;Pelz;J Comput Phys,1991

4. A case study in parallel computing: I. Homogeneous turbulence on a hypercube;Jackson;J Sci Comput,1991

5. High-resolution turbulent simulations using the Connection Machine-2;Chen;Comput Phys,1992

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new GPU-based corrected explicit-implicit domain decomposition scheme for convection-dominated diffusion problems;Computers & Mathematics with Applications;2022-10

2. Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review;Metals;2021-08-17

3. GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows;Computers & Mathematics with Applications;2021-01

4. An efficient GPU-based fractional-step domain decomposition scheme for the reaction–diffusion equation;Computational and Applied Mathematics;2020-10-29

5. A GPU-accelerated semi-implicit fractional-step method for numerical solutions of incompressible Navier–Stokes equations;Journal of Computational Physics;2018-01