Heterogeneous Computing with OpenCL 2.0 by David R. Kaeli

Heterogeneous Computing with OpenCL 2.0

byDavid R. Kaeli, Perhaad Mistry, Dana Schaa...

Kobo ebook | June 18, 2015

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***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
Title:Heterogeneous Computing with OpenCL 2.0Format:Kobo ebookPublished:June 18, 2015Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128016493

ISBN - 13:9780128016497

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