"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 fo...(展开全部)

"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 fo...(展开全部)

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...(展开全部)

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...(展开全部)

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 an...(展开全部)

《国外信息科学与技术优秀图书系列:OpenCL编程指南(英文版)》内容简介：新的OpenCL标准有助于充分利用CPU、GPU等处理器的丰富资源，已获得Apple、AMD、Intel、IBM等公司的认可，在服务器、嵌入式设备、高性能计算等领域有广阔的应用前景。《国外信息科学与技术优秀图书系列:OpenCL编程指南(英文版)》由OpenCL的五大技术权威共同撰写，内容涵盖完整的规范。在分析关键用户案例的基础上，说明了如何用OpenCL表示各类并行算法，并且提供了完整的API 和OpenCL C语言的参考信息。通过完整的案例学习和代码示例，讲解了编写复杂并行程序的方法，实现在众多不同设备间分解工作量，还介绍了OpenCL 软件性能优化的要点。 《国外信息科学与技术优秀图书系列:OpenCL编程指南(英文版)》是第一本针对OpenCL1.1规范的全面、权威的...(展开全部)

OpenCL领域公认的权威著作，由OpenCL核心设计人员亲自执笔，不仅全面而深刻地解读了OpenCL规范和编程模型，而且通过大量案例和代码演示了基于OpenCL编写并行程序和实现各种并行算法的原理、方法、流程和最佳实践，以及如何对OpenCL进行性能优化，如何对硬件进行探测和调整。 本书分为两大部分：第一部分（1～13章），从介绍OpenCL的核心思想和编写OpenCL程序的基础知识开始，对枯燥的OpenCL规范进行了深刻而系统的解读，旨在帮助读者全面、正确地理解OpenCL规范及其编程模型；第二部分（14~22章），提供了一系列经典的案例，如图像直方图、Sobel边界检测过滤器、并行实现Dijkstra单源最短路径图算法、Bullet Physics SDK中的布模拟、用快速傅里叶变换模拟海洋、光流、OpenCL与PyOpenCL结合使用，使用O...(展开全部)

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, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance com...(展开全部)

《OpenCL异构计算》讲解了OpenCL和如何为复杂的异构系统（多核处理器、GPU和APU）进行并行编程。OpenCL是为支持多平台设计的，受行业广泛支持，有助于帮助读者为异构环境编写高性能应用程序。 本书由并行计算和OpenCL社区中的领头人所撰写，可帮助读者体验OpenCL从而了解大量基础的并行算法。书中探索了内存空间、优化技术、图形的互操作、性能扩展，调试和性能剖析等。 本书读者对象为软件工程师、程序员、硬件工程师、高年级本科生/研究生，可供并行编程课程使用，包含有详细的案例，附有额外的网上练习和其他支持材料。 本书特色 · 解释OpenCL并行编程的原理和策略，从理解四大抽象模型开始，一直介绍到测试和调试完整的应用 · 覆盖图像处理、Web插件、粒子模拟、视频编辑和性能优化等主题 · 展示OpenCL如何映射到目标体系结构，并解释一些映射到...(展开全部)

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming.If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of C programming for this book, and an understanding of parallel implementations will be useful, but not necessary.