Accelerating batched 1D-FFT with a CUDA-capable computer
Department of Applied Physics, University of Technology Delft, Delft, Netherlands
IEEE International Conference on Imaging Systems and Techniques (IST), 2010
@inproceedings{de2010accelerating,
title={Accelerating batched 1D-FFT with a CUDA-capable computer},
author={de Beer, R. and van Ormondt, D. and Di Cesare, F. and Graveron-Demilly, D. and Karras, DA and Starcuk, Z.},
booktitle={Imaging Systems and Techniques (IST), 2010 IEEE International Conference on},
pages={446–451},
organization={IEEE},
year={2010}
}
This work concerns the application of CUDA-based software (Compute Unified Device Architecture), developed by NVIDIA for programmable Graphics Processing units (GPUs). CUDA code is written in ‘C for CUDA’, indicating the standard C programming language with NVIDIA extensions.Our goal was to find out, whether batched (multiple) one-dimensional Fast Fourier Transformation (1DFFT), often encountered in various fields of signal processing, can be speeded up significantly by exploiting the parellel-processing power of a low-cost, standard, CUDA-enabled graphics card in a home-assembled PC.
June 20, 2011 by hgpu
