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MATLAB for Signal Processing on Multiprocessors and Multicores
2010 / IEEE
This item was taken from the IEEE Periodical ' MATLAB for Signal Processing on Multiprocessors and Multicores ' 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.
Superconducting Quantum Interference Device
Multiprocessor Parallel Matlab
Signal Processing Kernels
Multicore General Purpose Graphical Processing Unit
Fast Fourier Transform
Synthetic Aperture Radar Imaging
Signal Processing Algorithms
Radar Signal Processing
Fast Fourier Transforms
Computer Graphic Equipment
Signal Processing And Analysis