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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
Author Profile Icon Zaccone
Zaccone
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Toc

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

Scientific computing with SCOOP


Scalable Concurrent Operations in Python (SCOOP) is a Python module to distribute concurrent tasks (called Futures) on heterogeneous computational nodes. Its architecture is based on the ØMQ package, which provides a way to manage Futures between the distributed systems. The main application of SCOOP resides in scientific computing that requires the execution of many distributed tasks using all the computational resources available.

To distribute its futures, SCOOP uses a variation of the broker patterns:

The SCOOP architecture

The central element of the communication system is the broker that interacts with all the independent workers to dispatch messages between them. The Futures are created in the worker elements instead of the central node (the broker) with a centralized serialization procedure. This makes the topology architecture more reliable and makes performance better. In fact, the broker's main workload consists of networking and interprocess I/O...

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