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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

Comparing CuPy to NumPy and CUDA

Let's compare CuPy to NumPy and CUDA in terms of simplicity in parallelization. In the following table, we explore the scope of CuPy with respect to NumPy and CUDA so as to understand the scenarios when CuPy could be advantageous to both. Here are some of the differences:

CUDA

NumPy

CuPy

Based on C/C++ programming language.

Based on Python programming language.

Based on Python programming language.

Uses C/C++ combined with specialized code to accelerate computations.

Fundamental package for scientific computing with Python on conventional CPUs.

Uses NumPy syntax but can be used for GPUs.

Casting behaviors from float to integer are defined in CUDA specification.

Casting behaviors from float to integer are defined in C++ specification.

Casting behaviors from float to integer are not defined in C++ specification...

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