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

Message Passing

This chapter will briefly cover the Message Passing Interface (MPI), which is a specification for message exchange. The primary goal of the MPI is to establish an efficient, flexible, and portable standard for message exchange communication.

Mainly, we will show the functions of the library that include synchronous and asynchronous communication primitives, such as (send/receive) and (broadcast/all-to-all), the operations of combining the partial results of the calculation (gather/reduce), and finally, the synchronization primitives between processes (barriers).

Furthermore, the control functions of the communication network will be presented by defining the topologies.

In this chapter, we will cover the following recipes:

  • Using the mpi4py Python module
  • Implementing point-to-point communication
  • Avoiding deadlock problems...