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high-performance-cuda

于 2013-11-04 发布 文件大小:14467KB
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  本书共分5章:第1章介绍GPU通用计算的发展历程,介绍并行计算的历史、现状以及面临的问题;第2章介绍CUDA的使用方法,帮助理解CUDA的编程模型、存储器模型和执行模型,掌握CUDA程序的编写方法;第3章探讨CUDA硬件架构,深入分析Tesla GPU架构与CUDA通用计算的相互作用:第4章总结CUDA的高级优化方法,对任务划分、存储器访问、指令流效率等课题进行探讨;第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)

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high performance cuda.pdf,14901247,2013-10-22

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