Heterogeneous Computing with OpenCL 2.0 Kaeli David R. Northeastern University Boston MA USA
Heterogeneous Computing with OpenCL 2.0 Kaeli David R. Northeastern University Boston MA USA Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that…
Specifikacia Heterogeneous Computing with OpenCL 2.0 Kaeli David R. Northeastern University Boston MA USA
Heterogeneous Computing with OpenCL 2.0 Kaeli David R. Northeastern University Boston MA USA
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). Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. 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 OpenGLDesigned to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future.
Multiple case studies and