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Heterogeneous computing with OpenCL /

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
Clasificación:Libro Electrónico
Otros Autores: Gaster, Benedict
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Morgan Kaufmann, �2012.
Temas:
Acceso en línea:Texto completo

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245 0 0 |a Heterogeneous computing with OpenCL /  |c Benedict Gaster [and others]. 
260 |a Waltham, MA :  |b Morgan Kaufmann,  |c �2012. 
300 |a 1 online resource (xvi, 277 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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520 |a 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 memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms. 
505 0 |a Introduction to Parallel Programming -- Introduction to OpenCL -- OpenCL Device Architectures -- Basic OpenCL Examples -- Understanding OpenCL's Concurrency and Execution Model -- Dissecting a CPU/GPU OpenCL Implementation -- OpenCL Case Study: Convolution -- OpenCL Case Study: Video Processing -- OpenCL Case Study: Histogram -- OpenCL Case Study: Mixed Particle Simulation -- OpenCL Extensions -- OpenCL Profiling and Debugging -- WebCL. 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction to parallel programming -- Introduction to OpenCL -- OpenCL device architectures -- Basic OpenCL examples -- Understanding OpenCL's concurrency and execution model -- Dissecting an CPU/GPU OpenCL implementation -- OpenCL case study : convolution -- OpenCL case study : video processing -- OpenCL case study : histogram -- OpenCL case study : mixed particle simulation -- OpenCL extensions -- OpenCL profiling and debugging -- WebCL. 
588 0 |a Print version record. 
650 0 |a Parallel programming (Computer science) 
650 0 |a OpenCL (Computer program language) 
650 6 |a Programmation parall�ele (Informatique)  |0 (CaQQLa)201-0062860 
650 6 |a OpenCL (Langage de programmation)  |0 (CaQQLa)000274821 
650 7 |a COMPUTERS  |x Programming  |x Parallel.  |2 bisacsh 
650 7 |a OpenCL (Computer program language)  |2 fast  |0 (OCoLC)fst01788941 
650 7 |a Parallel programming (Computer science)  |2 fast  |0 (OCoLC)fst01052939 
700 1 |a Gaster, Benedict. 
776 0 8 |i Print version:  |t Heterogeneous computing with OpenCL.  |d Waltham, MA : Morgan Kaufmann, �2012  |z 9780123877666  |w (DLC) 2011020169  |w (OCoLC)713189610 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123877666  |z Texto completo