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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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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

Alternative IDEs for Python – PyDev and Jupyter

At the beginning of this chapter, we also mentioned two other IDEs and their features, namely PyDev for Eclipse IDE and Jupyter. Before discussing the steps to install both of them, let's read a bit more about them in this section, specifically from a Python programming perspective.

PyDev is available as a standalone IDE called LiClipse, and also as a plugin for the Eclipse IDE. We will focus on the standalone version, as it is the recommended way of using PyDev and also focus on Python only. LiClipse provides the option to start your work as a PyDev project after you have finished installing PyDev and have run it for the first time:

In the case of Jupyter, we focus more on Jupyter Lab, a computational environment that's a web-based IDE accessible from a web browser, along with Jupyter Notebook. This gives us the...

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