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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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Avimanyu Bandyopadhyay Avimanyu Bandyopadhyay
Author Profile Icon Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware
2. Introducing GPU Computing FREE CHAPTER 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

Summary

In this chapter, programmable environments were discussed with a perspective on system-wide and virtual environments. Scenarios where a particular option is preferred were discussed. The directory structures of both system-wide and virtual environments were explored, in addition to their advantages and disadvantages. The containerization concept was introduced as an evolution from virtualization. Finally, local and cloud containers were explored in detail with a hands-on approach.

You are now familiar with the different environments to choose from in order to set up and use a development platform with GPUs. With Virtualenv and VirtualBox, you can now set up your own isolated development environments. The benefits of using Virtualenv will help prepare you to customize future preferences when setting up a closed programmable environment. Depending upon your usability requirements...

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