Fast Fourier transforms for the evaluation of convolution products: CPU versus GPU implementation-Reference-Cited by-同舟云学术

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Fast Fourier transforms for the evaluation of convolution products: CPU versus GPU implementation

Published:2013-12-18 Issue:3 Volume:27 Page:495-504
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int. J. Numer. Model.

Author:

Van de Wiele B.¹,Vansteenkiste A.²,Van Waeyenberge B.²,Dupré L.¹,De Zutter D.³

Affiliation:

1. Department of Solid State Sciences; Ghent University; Krijgslaan 281-S1 B-9000 Ghent Belgium

2. Department of Electrical Energy, Systems and Automation; Ghent University; Sint Pietersnieuwstraat 41 B-9000 Ghent Belgium

3. Department of Information Technology; Ghent University; Sint Pietersnieuwstraat 41 B-9000 Ghent Belgium

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jnm.1960/fullpdf

Reference22 articles.

1. A weak form of the conjugate gradient FFT method for two-dimensional elastodynamics;Pelekanos;Journal of Computational Physics,2000

2. A full-wave 2.5D volume integral equation solver for 3D millimeter-wave scattering by large inhomogeneous 2D objects;Van den Bulcke;IEEE Transactions on Antennas and Propagation,2009

3. Fast convolution with the free space Helmholtz Green's function;Beylkin;Journal of Computational Physics,2009

4. An efficient algorithm for classical density functional theory in three dimensions: ionic solutions;Knepley;Journal of Chemical Physics,2010

5. An FFT-accelerated time-domain multiconductor transmission line simulator;Bagci;IEEE Transactions on Electromagnetic Compatibility,2010

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1. Accelerating Fortran codes: A method for integrating Coarray Fortran with CUDA Fortran and OpenMP;Journal of Parallel and Distributed Computing;2025-01

2. HI-FFT: Heterogeneous Parallel In-Place Algorithm for Large-Scale 2D-FFT;IEEE Access;2021

3. Accelerating image convolution filtering algorithms on integrated CPU–GPU architectures;Journal of Electronic Imaging;2018-05-04

4. Efficient Krylov-based 3D FVTD schemes with adaptive domain decomposition for graphene and nanostructured EMC components;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2017-04-07

5. Optimal Placement for a Limited-Support Binary Sensor;IEEE Robotics and Automation Letters;2016-01

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