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

Synchronizing processes

Multiple processes can work together to perform a given task. Usually, they share data. It is important that access to shared data by various processes does not produce inconsistent data. Processes that cooperate by sharing data must, therefore, act in an orderly manner in order for that data to be accessible. Synchronization primitives are quite like those encountered for the library and threading.

Synchronization primitives are as follows:

  • Lock: This object can be in either the locked or unlocked state. A locked object has two methods, acquire() and release(), to manage access to a shared resource.
  • Event: This object realizes simple communication between processes; one process signals an event and the other processes wait for it. An event object has two methods, set() and clear(), to manage its own internal flag.
  • Condition: This object is used to synchronize...