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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
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

Setting Up a GPU Computing Platform with NVIDIA and AMD

This chapter's objective is to introduce you to the world of GPU manufacturers and the leaders in the same field—AMD and NVIDIA. We will start with a history of various GPU makers from their inception, up to today. In the subsequent sections, we'll explore the scenario on computing on NVIDIA and AMD separately. After that, we will compare both of them before discussing the most recent GPU models from each of the brands.

The entry-level guide will be about a DIY walkthrough based on a basic approach targeted toward individuals who are looking into learning GPU computing for the first time. Four different CPU-GPU combinations that were highlighted in the previous chapter will be detailed on a step-by-step basis so that you can build them easily.

The mid-range guide will be focused on intermediate users who...

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