Professional CUDA C Programming
eBook - PDF

Professional CUDA C Programming

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Professional CUDA C Programming

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Professional CUDA C Programming by John Cheng,Max Grossman,Ty McKercher in PDF and/or ePUB format, as well as other popular books in Computer Science & Parallel Programming. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wrox
Year
2014
Print ISBN
9781118739327
eBook ISBN
9781118739273

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Chapter 1 Heterogeneous Parallel Computing with CUDA
  6. Chapter 2 CUDA Programming Model
  7. Chapter 3 CUDA Execution Model
  8. Chapter 4 Global Memory
  9. Chapter 5 Shared Memory and Constant Memory
  10. Chapter 6 Streams and Concurrency
  11. Chapter 7 Tuning Instruction-Level Primitives
  12. Chapter 8 GPU-Accelerated CUDA Libraries and OpenACC
  13. Chapter 9 Multi-GPU Programming
  14. Chapter 10 Implementation Considerations
  15. Appendix: Suggested Readings
  16. Index
  17. Advertisement
  18. EULA