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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 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

An enthusiast's guide to GPU computing hardware

In the previous chapter, we listed several configurations for building a GPU computing setup and also saw the basic steps for assembling the PC.

In this final section, let's revisit those configurations and explore how we can enhance them by opting for after-market or customized liquid-cooling options for CPUs and GPUs.

While it is incredibly adventurous to tweak and assemble such a system on your own, an extra pair of helping hands is a big plus!

Custom water cooling on GPUs involves removing the graphic card's air cooler and replacing it with a waterblock. The complete water-cooling unit also comes with a reservoir for storing the water, a radiator for constantly cooling the circulating water, and of course the pipes to transport the water through the waterblock, reservoir, and radiator.

The following is the EKWB...

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