Book Image

Python Parallel Programming Cookbook

By : Giancarlo Zaccone
Book Image

Python Parallel Programming Cookbook

By: Giancarlo Zaccone

Overview of this book

This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will understand anche Pycsp, the Scoop framework, and disk modules in Python. Further on, you will learnGPU programming withPython using the PyCUDA module along with evaluating performance limitations.
Table of Contents (13 chapters)
Python Parallel Programming Cookbook
About the Author
About the Reviewers


With the sequential and parallel execution model, there is a third model, called the asynchronous model, that is of fundamental importance to us along with the concept of event programming. The execution model of asynchronous activities can be implemented using a single stream of main control, both in uniprocessor systems and multiprocessor systems.

In the asynchronous model of a concurrent execution, various tasks intersect with the timeline, and all of this happens under the action of a single flow of control (single-threaded). The execution of a task can be suspended and then resumed, but this alternates the time of other tasks. The following figure expresses this concept in a clear manner:

Asynchronous programming model

As you can see, the tasks (each with a different color) are interleaved with one another, but they are in a single thread of control; this implies that when one task is in execution, the other tasks are not. A key difference between the multithreaded programming...