Heterogeneous Computing with OpenCL 2.0, 3rd Edition

Heterogeneous Computing with OpenCL 2.09780128014141

Heterogeneous Computing with OpenCL 2.0

By 作者: David R. Kaeli - Perhaad Mistry - Dana Schaa - Dong Ping Zhang
ISBN-10 书号: 0128014148
ISBN-13 书号: 9780128014141
Edition 版本: 3rd
Release Finelybook 出版日期: 2015-06-01
Pages 页数: 330

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.
Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support
Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications
Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more
1:Introduction
2:Device architectures
3:Introduction to OpenCL
4:Examples
5:OpenCL runtime and concurrency model
6:OpenCL host-side memory model
7:OpenCL device-side memory model
8:Dissecting OpenCL on a heterogeneous system
9:Case study:Image clustering
10:OpenCL profilingand debugging
11:Mapping high-levelprogramming languagesto OpenCL2.0
12:WebCL:EnablingOpenCL accelerationof Web applications
13:Foreign lands:Plugging OpenCL in
Index


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