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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Suh, Jung W. (Jung Wook) (Autor), Kim, Youngmin (Professor) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Morgan Kaufmann, 2014.
Edición:First edition.
Temas:
MATLAB.
Graphics processing units.
Numerical analysis > Data processing.
Processeurs graphiques.
Analyse numérique > Informatique.
COMPUTERS > General.
Mathematics.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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