Book Image

Python Parallel Programming Cookbook - Second Edition

By : Giancarlo Zaccone
Book Image

Python Parallel Programming Cookbook - Second Edition

By: Giancarlo Zaccone

Overview of this book

<p>Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures. Applications based on parallel programming are fast, robust, and easily scalable. </p><p> </p><p>This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on MPI programming will help you to synchronize processes using the fundamental message passing techniques with mpi4py. Furthermore, you'll get to grips with asynchronous programming and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks. Finally, you'll explore how to design distributed computing systems with Celery and architect Python apps on the cloud using PythonAnywhere, Docker, and serverless applications. </p><p> </p><p>By the end of this book, you will be confident in building concurrent and high-performing applications in Python.</p>
Table of Contents (16 chapters)
Title Page

Thread synchronization with RLock

A reentrant lock, or simply an RLock, is a synchronization primitive that can be acquired multiple times by the same thread.

It uses the concept of the proprietary thread. This means that in the locked state, some threads own the lock, while in the unlocked state, the lock is not owned by any thread.

The next example demonstrates how to manage threads through the RLock() mechanism.

Getting ready

An RLock is implemented through the threading.RLock() class. It provides the acquire() and release() methods that have the same syntax as the threading.Lock() class.

An RLock block can be acquired multiple times by the same thread. Other threads will not be able to acquire the RLock block until the thread that...