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 rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
*Describes computational thinking techniques that will enable you to think about problems in ways that are amenable to high-performance parallel computing.
*Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.
*Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.
具体描述
读后感
GPU编程，读不多，其实最后还是要和nvidia的官方文档结合。但是这本书从硬件和软件结合方面讲解，同时结合和对比了CPU编程的思想，再加上作者本人在网上课堂结合本书做了讲解，因此，结合视频、书，觉得讲解的还是很清晰。当然，如今网络社会，不懂得再google一下，GPU编程的软...
评分GPU编程，读不多，其实最后还是要和nvidia的官方文档结合。但是这本书从硬件和软件结合方面讲解，同时结合和对比了CPU编程的思想，再加上作者本人在网上课堂结合本书做了讲解，因此，结合视频、书，觉得讲解的还是很清晰。当然，如今网络社会，不懂得再google一下，GPU编程的软...
评分 评分 评分适合初中级读者。 比较喜欢书的整体结构和安排，比较注重并行处理思想的贯穿。 在每章节都有一些核心思想的深入，比如延迟隐藏技术，内存使用方面 有详细的讲解。 不足之处是设计内容比较广泛，因此基本每章的内存都是点到为止，没有具体的深入分析。 后面的几个实例还是...
用户评价
看完这本书，我只想说，不看cousera配套视频就能在这本书的指导下写出高性能CUDA程序的同学，都是神
评分适合初学者入门，但语言比较啰嗦
评分useful
评分作为CUDA 大规模并行的开山之作，用来解决各研究领域问题，真乃神迹，感谢胡文美教授，不容错过！！！！
评分作为CUDA 大规模并行的开山之作，用来解决各研究领域问题，真乃神迹，感谢胡文美教授，不容错过！！！！
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美书屋 版权所有