Accelerating MATLAB with GPU computing : a primer with examples /

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"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successf...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Suh, Jung W. (Autor), Kim, Youngmin (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Morgan Kaufmann/Elsevier, 2014.
Edición:First edition.
Temas:
MATLAB.
Graphics processing units.
Numerical analysis > Data processing.
Electronic Data Processing.
Software.
Statistics > methods.
Datasets.
Mathematics.
Processeurs graphiques.
Analyse numérique > Informatique.
COMPUTERS > General.
Internet Resources.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Accelerating MATLAB without GPU
  • Configurations for MATLAB and CUDA
  • Optimization planning through profiling
  • CUDA coding with c-mex
  • MATLAB and parallel computing toolbox
  • Using CUDA-accelerated libraries
  • Example in computer graphics
  • CUDA conversion example : 3D image processing.

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