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
-
相關分類:
CUDA
立即出貨(限量)
買這商品的人也買了...
-
UNIX and Linux System Administration Handbook, 4/e (Paperback)$2,850$2,708 -
CUDA by Example: An Introduction to General-Purpose GPU Programming (Paperback)$1,970$1,872 -
Algorithms, 4/e (Hardcover)$3,150$2,993 -
GPU 高效能運算之 CUDA$420$332 -
OpenCL Programming Guide (Paperback)$2,160$2,052 -
圖解數位影像處理程式範例教本─使用 C 語言$620$558 -
OpenCL in Action: How to Accelerate Graphics and Computations (Paperback)$2,250$2,138 -
$990Structured Parallel Programming: Patterns for Efficient Computation (Paperback) -
Debug Hacks 除錯駭客 -- 極致除錯的技巧與工具$580$458 -
C++ AMP (Paperback)$1,400$1,330 -
$1,665CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Paperback) -
Heterogeneous Computing with OpenCL: Revised OpenCL 1.2 Edition, 2/e (Paperback)$2,680$2,546 -
Computer Animation: Algorithms and Techniques, 3/e (Hardcover)$1,280$1,254 -
C++11 for Programmers, 2/e (Paperback)$1,930$1,834 -
易讀程式之美學－提升程式碼可讀性的簡單法則 (The Art of Readable Code)$480$408 -
Binary Hacks -- 駭客秘傳技巧一百招$580$493 -
GPU Pro 4: Advanced Rendering Techniques (Hardcover)$4,500$4,275 -
CSS3 網頁設計優化－新手也能快速建立跨平台網頁 (CSS3 Foundations)$480$408 -
OpenCV Computer Vision with Python$1,340$1,273 -
Effective JavaScript 中文版 | 駕馭 JavaScript 的 68 個具體作法 (Effective JavaScript: 68 Specific Ways to Harness the Power of JavaScript)$450$356 -
WebGL Programming Guide: Interactive 3D Graphics Programming with WebGL (Paperback)$1,980$1,881 -
$1,840OpenGL SuperBible: Comprehensive Tutorial and Reference, 6/e (Paperback) -
Visual C++ 2012 教學手冊 (Ivor Horton's Beginning Visual C++ 2012)$780$616 -
$229OpenCV 2 電腦視覺編程手冊 (OpenCV 2 Computer Vision Application Programming Cookbook) -
並行之美學－撰寫平行應用程式的新手指南 (The Art of Concurrency: A Thread Monkey's Guide to Writing Parallel Applications)$580$458
相關主題
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
