Heterogeneous Computing with OpenCL

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Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms an...

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Detalles Bibliográficos
Autores principales: Gaster, Benedict, Howes, Lee, Kaeli, David R, Mistry, Perhaad, Schaa, Dana
Lenguaje:eng
Publicado: Elsevier 2011
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1414218
Descripción
Sumario:Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore m

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