Author: Benedict Gaster
Edition: 1
Binding: Paperback
ISBN: 0123877660
Edition: 1
Binding: Paperback
ISBN: 0123877660
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. Get Heterogeneous Computing with OpenCL computer books for free.
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 programmi Check Heterogeneous Computing with OpenCL our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Heterogeneous Computing with OpenCL Free
Intended to support a parallel programmi
Related Computer Books
OpenCL Programming Guide
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel,

OpenCL in Action: How to Accelerate Graphics and Computations
SummaryOpenCL in Action is a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high-performance applications of their own. It begins by presenting the core concepts behind OpenCL, including ve

CUDA by Example: An Introduction to General-Purpose GPU Programming
"This book is required reading for anyone working with accelerator-based computing systems." -From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory CUDA is a computing architecture designed

CUDA Application Design and Development
As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their

Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series)
Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the

No comments:
Post a Comment