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Heterogeneous computing with OpenCL 2.0

Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in Open...

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Detalles Bibliográficos
Autores principales: Kaeli, David R, Mistry, Perhaad, Schaa, Dana, Zhang, Dong Ping
Lenguaje:eng
Publicado: Morgan Kaufmann 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2032027
Descripción
Sumario:Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources Dynamic parallelism which reduces processor load and avoids bottlenecks Improved imaging support and integration with OpenGL  Designed to work on multiple platfor