Heterogeneous Computing with Opencl 2.0 - David R Kaeli,Dana Schaa,Perhaad Mistry,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) such as AMD Fusion technology. This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: . . Shared virtual memory to increase programming flexibilit ... Full description
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Description
. 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) such as AMD Fusion technology. 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, a graphics standard . Pipe memory which can be optimized for specific scenarios . Improved integration with Android platforms . 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.
More Information
| Author | David R Kaeli, Dana Schaa, Perhaad Mistry, Dong Ping Zhang |
|---|---|
| Publisher | Elsevier Science |
| Release year | 2015 |
| Cover type | Softcover |
| EAN | 9780128014141 |