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Cheng, John

Professional CUDA C Programming

Cheng, John - Professional CUDA C Programming, ebook

59,50€

Ebook, ePUB with Adobe DRM
ISBN: 9781118739310
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Printing158 pages with an additional page accrued every 5 hours, capped at 158 pages
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide

Designed for professionals across multiple industrial sectors, Professional CUDA C Programming  presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming.

Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including:

  • CUDA Programming Model
  • GPU Execution Model
  • GPU Memory model
  • Streams, Event and Concurrency
  • Multi-GPU Programming
  • CUDA Domain-Specific Libraries
  • Profiling and Performance Tuning

The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.

Keywords: Parallel and Distributed Computing, Professional CUDA Programming in C, John Cheng, Max Grossman, Ty McKercher, CUDA help, CUDA tutorials, CUDA instruction, parallel computing, multiple GPU programming, parallel programming, CUDA in C, CUDA fundamentals, entry-level CUDA, achieving data parallelism, CUDA examples, massively parallel processors, CUDA handbook, CUDA guide, CUDA programming, CUDA exercises, data science, bioinformatics, parallel processor management, CUDA programming model, GPU model

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
1
Page amount
528 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781118739310
Printed ISBN
9781118739327

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