本书介绍了并行程序设计与GPU体系结构的基本概念，并详细探讨了用于构建并行程序的各种技术，用案例演示了并行程序设计的整个开发过程，即从并行计算的思想开始，直到最终实现实际且高效的并行程序。 【特点】 ·介绍了并行计算的思想，使得读者可以把这种问题的思考方式渗透到高性能并行计算中去。 ·介绍了CUDA的使用，CUDA是NVIDIA公司专门为大规模并行环境创建的一种软件开发工具。 ·介绍如何使用CUDA编程模式和OpenCL来获得高性能和高可靠性。

Preface WHY WE WROTE THIS BOOK Mass-market computing systems that combine multicore CPUs and many-core GPUs have brought terascale computing to the laptop and petascale computing to clusters. Armed with such computing power, we are at the dawn of pervasive use of computational experiments for science, engineering, health, and business disciplines. Many will be able to achieve breakthroughs in their disciplines using computational experiments that are of unprecedented level of scale, controllability, and observability. This book provides a critical ingredient for the vision: teaching parallel programming to millions of graduate and undergraduate students so that computational thinking and...