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

RMI with Pyro4

Pyro is short for Python Remote Objects. It works exactly like the Java RMI (short for Remote Method Invocation) allowing to invoke a method of a remote object (belonging to a different process) exactly as if the object were local (belonging to the same process in which the invocation runs).

The use of an RMI mechanism, in an object-oriented system, involves significant advantages of uniformity and symmetry in the project, as this mechanism enables the modelling of interactions between distributed processes using the same conceptual tool. 

As you can see from the following diagram, Pyro4 enables objects to be distributed in a client/server style; this means that the main parts of a Pyro4 system may switch from a client caller to a remote object, which is called to serve a function:


It is important to note that during the...