Cargando…
Accelerating MATLAB with GPU computing: a primer with examples
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 successfully...
Autores principales: | Suh, Jung W, Kim, Youngmin |
---|---|
Lenguaje: | eng |
Publicado: |
Elsevier Science
2013
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1641718 |
Ejemplares similares
-
GPU programming in MATLAB
por: Ploskas, Nikolaos, et al.
Publicado: (2016) -
MATLAB Primer
por: Davis, Timothy A
Publicado: (2004) -
TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction
por: Biguri, Ander, et al.
Publicado: (2016) -
Digital signal processing with examples in MATLAB
por: Stearns, Samuel D, et al.
Publicado: (2011) -
CUDA by example: an introduction to general-purpose GPU programming
por: Sanders, Jason, et al.
Publicado: (2011)