Heterogeneous Computing with OpenCL 2.0

by David R. Kaeli, Perhaad Mistry, Dana Schaa, and Dong Ping Zhang

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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.
  • ISBN13 9780128014141
  • Publish Date 18 May 2015
  • Publish Status Active
  • Publish Country US
  • Publisher Elsevier Science & Technology
  • Imprint Morgan Kaufmann Publishers In
  • Format Paperback
  • Pages 336
  • Language English