Heterogeneous Computing with OpenCL 2.0

By: and and and

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Synopsis
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
Copyright:
2015

Book Details

Book Quality:
Publisher Quality
Book Size:
330 Pages
ISBN-13:
9780128016497
Related ISBNs:
9780128014141
Publisher:
Morgan Kaufmann Publishers
Date of Addition:
Copyrighted By:
Elsevier Science & Technology
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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