Accelerating MATLAB with GPU computing : a primer with examples /

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Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge, explains the related background on hardware, architecture and programming for ease of use, and provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be re...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Suh, Jung W. (Jung Wook) (Auteur), Kim, Youngmin (Professor) (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Waltham, MA : Morgan Kaufmann, 2014.
Édition:First edition.
Sujets:
MATLAB.
Graphics processing units.
Numerical analysis > Data processing.
Processeurs graphiques.
Analyse numérique > Informatique.
COMPUTERS > General.
Mathematics.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • 1. Accelerating MATLAB without GPU
  • 2. Configurations for MATLAB and CUDA
  • 3. Optimization planning through profiling
  • 4. CUDA coding with c-mex
  • 5. MATLAB and parallel computing toolbox
  • 6. Using CUDA-accelerated libraries
  • 7. Example in computer graphics
  • 8. CUDA conversion example : 3D image processing.

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