Programming Massively Parallel Processors: A Hands-on Approach (Paperback)

David B. Kirk, Wen-mei W. Hwu

Programming Massively Parallel Processors: A Hands-on Approach (Paperback)
  • 出版商: Morgan Kaufmann
  • 出版日期: 2010-02-05
  • 定價: $1,600
  • 售價: 5.0 折 $800
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Paperback
  • ISBN: 0123814723
  • ISBN-13: 9780123814722
  • 相關分類: CUDA、GPU

    • 立即出貨(限量)

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商品描述

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.




  • Teaches computational thinking and problem-solving techniques that facilitate 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.

商品描述(中文翻譯)

多核心處理器不再是計算的未來，而是現實中的存在。一個典型的大量生產的中央處理器具有多個處理器核心，而圖形處理器（GPU）可能具有數百甚至數千個核心。隨著多核心架構的興起，高級程式設計師需要學習一項新的、必不可少的技能：如何編寫大規模並行處理器的程式。

《並行處理器編程：實踐方法》向學生和專業人士展示了並行編程和GPU架構的基本概念。詳細探討了構建並行程式的各種技術。案例研究展示了開發過程，從計算思維開始，最終實現高效並行程式。

該書具有以下特點：
- 教授促進高性能並行計算的計算思維和問題解決技巧。
- 使用CUDA（Compute Unified Device Architecture），這是NVIDIA專為大規模並行環境而創建的軟體開發工具。
- 向您展示如何使用CUDA編程模型以及OpenCL實現高性能和高可靠性。

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