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Python Parallel Programming Cookbook

You're reading from   Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

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Product type Paperback
Published in Aug 2015
Last Updated in Feb 2025
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
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Author (1):
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 Zaccone Zaccone
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Zaccone
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Parallel Computing and Python FREE CHAPTER 2. Thread-based Parallelism 3. Process-based Parallelism 4. Asynchronous Programming 5. Distributed Python 6. GPU Programming with Python Index

How to synchronize processes


Multiple processes can work together to perform a given task. Usually, they share data. It is important that the 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 to access that data. Synchronization primitives are quite similar to those encountered for the library and threading.

They are as follows:

  • Lock: This object can be in one of the states: locked and unlocked. A lock object has two methods, acquire() and release(), to manage the access to a shared resource.

  • Event: This 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 parts of a workflow, in sequential or parallel processes. It has two basic methods, wait() is used to wait for a condition and notify_all...

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