[Pdf/ePub] GPU Programming with C++ and CUDA:
GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications by Paulo Motta
- GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications
- Paulo Motta
- Page: 270
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781805124542
- Publisher: Packt Publishing
Free online audio book no downloads GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications 9781805124542 (English literature)
Learn to solve parallel problems with GPU-accelerated C++ code and create reusable libraries that can be accessed from other programming languages Key Features Harness the power of GPU parallelism to accelerate real-world tasks Utilize CUDA streams and scale performance with custom C++ solutions Create reusable GPU libraries and expose them to Python seamlessly Book Description Written by Paulo Motta, a senior researcher with decades of experience, this comprehensive GPU programming book is an essential guide for leveraging the power of parallelism to accelerate your computations. The first section introduces the concept of parallelism and provides practical advice on how to think about and utilize it effectively. Starting with a basic GPU program, you then gain hands-on experience in managing the device. This foundational knowledge is then expanded by parallelizing the program to illustrate how GPUs enhance performance. The second section explores GPU architecture and implementation strategies for parallel algorithms, and offers practical insights into optimizing resource usage for efficient execution. In the final section, you will explore advanced topics such as utilizing CUDA streams. You will also learn how to package and distribute GPU-accelerated libraries for the Python ecosystem, extending the reach and impact of your work. Combining expert insight with real-world problem solving, this book is a valuable resource for developers and researchers aiming to harness the full potential of GPU computing. The blend of theoretical foundations, practical programming techniques, and advanced optimization strategies it offers is sure to help you succeed in the fast-evolving field of GPU programming. What you will learn Manage GPU devices and accelerate your applications Apply parallelism effectively using CUDA and C++ Choose between existing libraries and custom GPU solutions Package GPU code into libraries for use with Python Explore advanced topics such as CUDA streams Implement optimization strategies for resource-efficient execution Who this book is for C++ developers and programmers interested in accelerating applications using GPU programming will benefit from this book. It is suitable for those with solid C++ experience who want to explore high-performance computing techniques. Familiarity with operating system fundamentals will help when dealing with device memory and communication in advanced chapters.
Uncover effective techniques for writing efficient GPU-parallel C++ .
書名：GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications，語言：英文，ISBN：9781805124542， .
Uncover effective techniques for writing efficient GPU-parallel C++ .
GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications - Ebook written by Paulo Motta.
What are the best resources for learning CUDA programming?
These courses cover various aspects of CUDA programming, including GPU programming with CUDA C/C++, parallel computing techniques, and .
The CUDA C++ Programming Beginner's Guide
Explore the principles of GPU programming and learn how CUDA C++ can revolutionize your computing operations. This book gives an in-depth .
Uncover effective techniques for writing efficient GPU-parallel C++ .
Få GPU Programming with C++ and CUDA: Uncover effective techniques for writing efficient GPU-parallel C++ applications af Paulo Motta som bog på engelsk .
Bryce Adelstein Lelbach - "The CUDA C++ Developer's Toolbox"
the most out of your GPU with C++ doesn't require writing . Come learn about the libraries and techniques that make writing CUDA C++ code easier .
The Art of Performance-Driven Programming, eBook by Aarav Joshi
GPU Programming with C++ and CUDA : Uncover effective techniques for writing efficient GPU-parallel . efficient GPU-parallel C++ applications.
What are the best CUDA C/C++ books? - Quora
If you are familiar with the basic CUDA languages, I suggest “CUDA Programming-A Developer's Guide to Parallel Computing with GPUs”. Upvote ·. 9 .
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