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Morgan Kaufmann CUDA Programming: Developer's Guide to Parallel Computing with GPUs
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CUDA Programming: A Developer's Introduction is an essential guide for those looking to learn CUDA programming without prior experience in parallel computing. This book serves as a comprehensive resource, introducing readers to the fundamentals of GPU parallelism and CUDA, making it ideal for beginners and established developers alike.
This book offers a structured approach to learning CUDA, starting with foundational concepts and progressing to practical applications. It covers CUDA installation and dives deep into core concepts such as threads, blocks, grids, and memory management. With a clear focus on both parallel and CUDA-specific issues, readers will gain valuable insights into optimizing applications while adjusting to various hardware platforms.
Key Features:- Comprehensive introduction to CUDA programming for beginners and experienced developers.
- Detailed guide covering GPU parallelism and CUDA hardware fundamentals.
- Practical techniques for optimizing applications and solving common CUDA problems.
- Extensive coverage of memory management, threads, algorithms, and resources.
- Includes exercises at the end of each chapter to assess understanding and reinforce learning.
- Covers CUDA on multiple operating systems: Mac, Linux, and Windows.
- Used Book in Good Condition, ensuring affordability without sacrificing quality.
CUDA Programming: A Developer's Introduction is an invaluable resource for students, software developers, and anyone interested in the rapidly evolving field of parallel computing. By mastering the concepts presented in this book, readers will be well-equipped to optimize their software applications, tackle real-world problems, and enhance their programming skill set. This book is a practical choice for anyone eager to harness the power of CUDA and improve their programming capabilities across various hardware platforms.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the size of the book? A: The book measures seven point five two inches in length, one point three four inches in width, and nine point two five inches in height.
- Q: How many pages does the book have? A: The book contains five hundred ninety-two pages, providing a comprehensive guide to CUDA programming.
- Q: What type of binding does this book have? A: The book is available in paperback binding, making it suitable for easy handling and reading.
- Q: Who is the author of the book? A: The author of the book is Shane Cook, a knowledgeable figure in the field of CUDA programming.
- Q: What is the main focus of this book? A: This book focuses on teaching CUDA programming and parallel computing using GPUs, making it accessible to beginners.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for readers new to both CUDA and parallel computing, providing foundational knowledge.
- Q: How do I install CUDA according to the book? A: The book provides detailed instructions for installing CUDA, ensuring users can set up their environment successfully.
- Q: What programming concepts are covered in the book? A: The book covers essential programming concepts, including threads, blocks, grids, and memory management in CUDA.
- Q: Are there exercises included in the book? A: Yes, each chapter includes exercises to test reader knowledge and reinforce learning.
- Q: How can I optimize my applications using this book? A: The book demonstrates practical techniques for optimizing applications, addressing common problems encountered in CUDA programming.
- Q: What platforms does the book cover for CUDA? A: The book covers CUDA on multiple platforms, including Mac, Linux, and Windows, compatible with several NVIDIA chipsets.
- Q: What should I do if I receive a damaged book? A: If you receive a damaged book, please contact customer support to initiate a return or exchange process.
- Q: Is there a return policy for this book? A: Yes, there is a return policy that allows customers to return the book within a specified timeframe if unsatisfied.
- Q: How do I keep the book in good condition? A: To keep the book in good condition, store it in a dry place away from direct sunlight and avoid bending the pages.
- Q: Can I read this book on different devices? A: Yes, while the physical book is in paperback, you may also find digital versions compatible with e-readers and tablets.
- Q: Is this book updated for the latest CUDA version? A: The book provides foundational knowledge that remains relevant, but check for any updates or supplementary materials online.