MATLAB for Signal Processing on Multiprocessors and Multicores

Author

Samsi, Siddharth ; Gadepally, Vijay ; Krishnamurthy, Ashok

Volume

27

Issue

2

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

40

Lastpage

49

Abstract

MATLAB is a popular choice for algorithm development in signal and image processing. While traditionally done using sequential MATLAB running on desktop systems, in recent years there has been a surge of interest in running MATLAB in parallel to take advantage of multiprocessor and multicore systems. In this article, we discuss three variations of multiprocessor parallel MATLAB, two of which are available as commercial, supported products. We also consider running MATLAB with key computations speeded up using multithreaded computations on multicore general-purpose graphical processing units (GPGPUs). Two signal processing kernels (fast Fourier transform (FFT) and convolution) and two full applications [synthetic aperture radar (SAR) imaging and superconducting quantum interference devices (SQIF)] are used to illustrate the use of parallel MATLAB.

Keywords

computer graphic equipment; coprocessors; mathematics computing; multi-threading; signal processing; convolution; fast Fourier transform; image processing; multicore general purpose graphical processing unit; multiprocessor parallel Matlab; multithreaded computations; signal processing kernels; superconducting quantum interference device; synthetic aperture radar imaging; Convolution; Fast Fourier transforms; Image processing; Kernel; MATLAB; Multicore processing; Radar signal processing; Signal processing; Signal processing algorithms; Surges;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2009.935421

Filename

5438965