Programming Massively Parallel Processors: A Hands-on Approach, 2/e (Paperback)
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平行程式設計指南已經進行了修訂，增加了更多的平行程式設計範例、常用的程式庫以及對最新工具的解釋。通過這些改進，本書保留了其簡潔、直觀、實用的方法，這些方法是基於作者們多年來在自己的平行計算課程中的實踐經驗。
《大規模平行處理器程式設計：實踐方法》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，最終實現有效且高效的平行程式。
本版的更新內容包括：
- 新增對CUDA 4.0的涵蓋，提升性能，增強開發工具，擴大硬體支援等方面的內容
- 增加了對相關技術OpenCL的涵蓋，並新增了有關算法模式、GPU集群、主機程式設計和資料平行性的內容
- 兩個新的案例研究探討了CUDA和GPU在科學研究和高性能計算方面的最新應用
