Heterogeneous Computing with OpenCL 2 0

This book PDF is perfect for those who love Computers genre, written by David R. Kaeli and published by Morgan Kaufmann which was released on 18 June 2015 with total hardcover pages 330. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Heterogeneous Computing with OpenCL 2 0 books below.

Heterogeneous Computing with OpenCL 2 0
Author : David R. Kaeli
File Size : 54,6 Mb
Publisher : Morgan Kaufmann
Language : English
Release Date : 18 June 2015
ISBN : 9780128016497
Pages : 330 pages
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Heterogeneous Computing with OpenCL 2 0 by David R. Kaeli Book PDF Summary

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 platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

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 OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers

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Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition 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. It is the first textbook that presents OpenCL programming appropriate for the classroom and

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Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition 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. It is the first textbook that presents OpenCL programming appropriate for the classroom and

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Heterogeneous Computing with OpenCL

"Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include different types of hardware: Central Processing Units (CPUs), Digital Signal Processors (DSPs), Graphic Processing Units (GPUs) and Accelerated Processing Units (APUs). Designed to work on multiple platforms and with wide industry support, OpenCL will help

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Heterogeneous Computing with OpenCL

"Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include different types of hardware: Central Processing Units (CPUs), Digital Signal Processors (DSPs), Graphic Processing Units (GPUs) and Accelerated Processing Units (APUs). Designed to work on multiple platforms and with wide industry support, OpenCL will help

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Compiler Construction

This book constitutes the refereed proceedings of the 20th International Conference on Compiler Construction, CC 2011, held in Saarbrücken, Germany, March 26—April 3, 2011, as part of ETAPS 2011, the European Joint Conferences on Theory and Practice of Software. The 15 revised full papers presented together with the abstract of one invited talk were

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Using OpenCL

In 2011 many computer users were exploring the opportunities and the benefits of the massive parallelism offered by heterogeneous computing. In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media. Among them has been OpenCL, an open system for

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OpenCL Programming Guide

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers,

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