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
Dedication

Asynchronous Programming

Beside the sequential and parallel execution models, there is a third model that is of fundamental importance together with the concept of event programming: the asynchronous model.

The execution model of asynchronous tasks can be implemented through a single main control flow, both in single-processor systems and in multiprocessor systems. In the concurrent asynchronous execution model, the executions of various tasks intersect along the timeline, and everything happens under the action of a single flow of control (single-threaded). Once started, the execution of tasks can be suspended and then resumed over time, alternating with the execution of other current tasks that are present.

The development of code for the asynchronous model is completely different from that for multithreaded programming. A substantial difference between the...