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Hands-On GPU Computing with Python

You're reading from   Hands-On GPU Computing with Python Explore the capabilities of GPUs for solving high performance computational problems

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789341072
Length 452 pages
Edition 1st Edition
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Author (1):
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Avimanyu Bandyopadhyay Avimanyu Bandyopadhyay
Author Profile Icon Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware FREE CHAPTER
2. Introducing GPU Computing 3. Designing a GPU Computing Strategy 4. Setting Up a GPU Computing Platform with NVIDIA and AMD 5. Section 2: Hands-On Development with GPU Programming
6. Fundamentals of GPU Programming 7. Setting Up Your Environment for GPU Programming 8. Working with CUDA and PyCUDA 9. Working with ROCm and PyOpenCL 10. Working with Anaconda, CuPy, and Numba for GPUs 11. Section 3: Containerization and Machine Learning with GPU-Powered Python
12. Containerization on GPU-Enabled Platforms 13. Accelerated Machine Learning on GPUs 14. GPU Acceleration for Scientific Applications Using DeepChem 15. Other Books You May Enjoy Appendix A

Final thoughts

I hope you found the book interesting and helpful. Please go ahead and start getting involved with the computing and deep learning community, especially with an open source approach. Please remember that, the application of GPU computing, deep learning, or any other technology is most effective only when applied in the right manner and in the right situation. So, the application of technology becomes more important than the technology itself. I really hope this book brings computer scientists much closer toward application scientists for better collaboration. I wish you all the best in your academic and learning endeavors!

Let's conclude with the following quote from Edgar Dijkstra, the creator of the famous Dijkstra Algorithm:

"Computer science is no more about computers than astronomy is about telescopes, biology is about microscopes, or chemistry is...
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