Matlab and Parallel Computing

• Autorzy: Szymczyk, M. , Szymczyk, P.
• Języki publikacji: EN

Abstrakty

EN

The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

Słowa kluczowe

EN

control system; computer image processing and analysis; visualization; Parallel Computing Toolbox; graphics processor GPU

• Czasopismo: Image Processing & Communications
• Rocznik: 2012
• Tom: Vol. 17, no. 4
• Strony: 207--216
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Szymczyk, M.

• AGH University of Science and Technology, Kraków, Polska,

autor

Szymczyk, P.

• AGH University of Science and Technology, Kraków, Polska

Bibliografia

• [1] B. Dushaw, Matlab and CUDA, APL UoW, Seatlle, 2010
• [2] S. Gaurav, M. Jos, MATLAB: A Language for Parallel Programming, International Journal of Parallel Programming, Vol. 37, 2009
• [3] Imagery Library for Intelligent Detection Systems, http://www.homeoffice.gov.uk/scienceresearch/hosdb/i-lids/
• [4] C. Moler, Parallel MATLAB: Multiple Processors and Multiple Cores, http://www.mathworks.com/company/newsletters/articles/parallelmatlab-multiple-processors-and-multiplecores.html
• [5] http://www.mathworks.com/matlabcentral/fileexchange/29648-gpuconv2
• [6] http://www.simpoz.pl/