Programming Massively Parallel Processors: A Hands-on Approach, 2/e (Paperback)
暫譯: 大規模平行處理器程式設計：實作方法（第二版）
David B. Kirk, Wen-mei W. Hwu
- 出版商: Morgan Kaufmann
- 出版日期: 2012-12-28
- 定價: $1,980
- 售價: 5.0 折 $990
- 語言: 英文
- 頁數: 514
- 裝訂: Paperback
- ISBN: 0124159923
- ISBN-13: 9780124159921
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相關分類:
CUDA
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商品描述
This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses.
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.
Updates in this edition include:
- New coverage of CUDA 4.0, improved performance, enhanced development tools, increased hardware support, and more
- Increased coverage of related technology OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism
- Two new case studies explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
商品描述(中文翻譯)
這本暢銷的 CUDA 和 GPU 平行程式設計指南經過修訂，增加了更多平行程式設計範例、常用的函式庫以及最新工具的解釋。透過這些改進，本書保留了基於作者多年在平行計算課程中實地測試的簡潔、直觀和實用的方法。
《Programming Massively Parallel Processors: A Hands-on Approach》向學生和專業人士展示了平行程式設計和 GPU 架構的基本概念。詳細探討了構建平行程式的各種技術。案例研究展示了開發過程，從計算思維開始，最終形成有效且高效的平行程式。
本版的更新包括：
- 新增對 CUDA 4.0 的介紹，改進的性能、增強的開發工具、擴大的硬體支援等
- 增加了與技術 OpenCL 相關的內容，以及有關演算法模式、GPU 集群、主機程式設計和資料平行性的全新材料
- 兩個新的案例研究探討了 CUDA 和 GPU 在科學研究和高效能計算中的最新應用
