Book Image

Learning Concurrency in Python

By : Elliot Forbes
Book Image

Learning Concurrency in Python

By: Elliot Forbes

Overview of this book

Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

PyCUDA


PyCUDA is a Python library that exposes the power of NVIDIA's CUDA parallel computation API to us as Python developers.

Note

The official documentation for PyCUDA can be found athttps://mathema.tician.de/software/pycuda/. This includes the official source code and a mailing list for those interested.

In this section, we'll cover some basic examples as to how you can utilize PyCUDA for your computationally heavy programs that require the full power of your NVIDIA GPU.

Features

PyCUDA has a number of interesting features, which I feel should be mentioned at this point: 

  • Object cleanup is tied to the lifetime of objects, and as such, it's easier to write code that isn't plagued by leaks and won't crash on you after extended periods of execution.

  • As previously mentioned, the main benefit of PyCUDA is that it abstracts away the complexities with things such as pycude.compiler.SourceModule and pycuda.gpuarray.GPUArray.

  • Automatic error checking--PyCUDA automatically converts any of the errors that...