Heterogeneous Computing with OpenCL
Heterogeneous Computing with OpenCL 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. 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. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials.
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LibraryThing ReviewUser Review - jcopenha - LibraryThing
Not a recommended book for learning about GPGPU. Even though the Programming Massively Parallel Computers book was focused on CUDA it still gave a much better explanation of what is going on and how ... Read full review
Extremely complete resource with very thorough explanations. Good for beginners but also lots of info for more experienced users. Especially in the optimization chapters. I will be looking forward to the version about Opencl 2.0.
Introduction to Parallel Programming
Introduction to OpenCL
OpenCL Device Architectures
Basic OpenCL Examples
Understanding OpenCLs Concurrency and Execution Model
Dissecting a CPUGPU OpenCL Implementation
OpenCL Case Study
OpenCL Case Study