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.
具體描述
讀後感
这本书非常罗嗦，既不很通俗也不很深入。更要命的是，翻译得过于粗糙了。图7-9整个给翻译丢了不说，好多地方都是错字，还有些根本读不下来啊。 比如，7.3节，“通过设置最重要的尾数位来表示”。哪位是“最重要的尾数位”啊？most significant mantissa bit是尾数的最高有效位...
評分 評分 評分适合初中级读者。 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...
評分这本书初看不知所云，感觉没什么实质性内容。 后来配上在coursera上的视频，发现书中的见解相当精辟、简洁。 里面对于线程的讲解还有一些并行计算的方式都谈得很到位，作者实属苦口婆心将其原理一一道来。 看书还是讲求一个思维角度的问题。角度不对，则完全不能理解其中深...
用戶評價
挺好，需要再讀
评分薄薄一本還寫得這麼詳細。。。
评分適閤初學者入門，但語言比較囉嗦
评分作為CUDA 大規模並行的開山之作，用來解決各研究領域問題，真乃神跡，感謝鬍文美教授，不容錯過！！！！
评分非常readable，早該看瞭
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