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Professional CUDA C Programming

Professional CUDA C Programming

Professional CUDA C Programming Paperback / softback - 2014

by John Cheng

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Paperback / softback. New. Professional CUDA Programming in C provides down to earth coverage of the complex topic of parallel computing, a topic increasingly essential in every day computing. This entry-level programming book for professionals turns complex subjects into easy-to-comprehend concepts and easy-to-follows steps.
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Details

  • Title Professional CUDA C Programming
  • Author John Cheng
  • Binding Paperback
  • Edition International Ed
  • Condition New
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher Wrox Press, Ind.
  • Publication date 2014-09-15
  • Features Bibliography, Index
  • Bookseller's Inventory # A9781118739327
  • ISBN 9781118739327 / 1118739329
  • Weight 1.95 lbs (0.88 kg)
  • Dimensions 9.2 x 7.3 x 1.1 in (23.37 x 18.54 x 2.79 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Parallel programming (Computer science)
  • Dewey Decimal Code 005.275
  • Quantity available 10

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From the publisher

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.

From the rear cover

Break into the powerful world of parallel computing

Focused on the essential aspects of CUDA, Professional CUDA C Programming offers down-to-earth coverage of parallel computing. Packed with examples and exercises that help you see code, real-world applications, and try out new skills, this resource makes the complex concepts of parallel computing accessible and easy to understand. Each chapter is organized around one central topic, and includes workable examples that demonstrate the development process, allowing you to measure significant performance gains while exploring all aspects of GPU programming.

Professional CUDA C Programming:

  • Focuses on GPU programming skills and best practices that deliver outstanding performance
  • Shows you how to think in parallel
  • Turns complex subjects into easy-to-understand concepts
  • Makes information accessible across multiple industrial sectors
  • Features helpful examples and exercises in each chapter
  • Covers the essentials for those who are not experts in C programming

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About the author

John Cheng, PHD, is a Research Scientist at BGP International in Houston. He has developed seismic imaging products with GPU technology and many high-performance parallel production applications on heterogeneous computing-platforms.

Max Grossman is an expert in GPU computing with experience applying CUDA to problems in medical imaging, machine learning, geophysics, and more.

Ty McKercher has been helping customers adopt GPU acceleration technologies while he has been employed at NVIDIA since 2008.

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