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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
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
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Toc

Table of Contents (8) Chapters Close

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

Introduction


The basic idea of distributed computing is to break each workload into an arbitrary number of tasks, usually indicated with the name, into reasonable pieces for which a computer in a distributed network will be able to finish and return the results flawlessly. In distributed computing, there is the absolute certainty that the machines on your network are always available (latency difference, unpredictable crash or network computers, and so on). So, you need a continuous monitoring architecture.

The fundamental problem that arises from the use of this kind of technology is mainly focused on the proper management of traffic (that is devoid of errors both in transmission and reception) of any kind (data, jobs, commands, and so on). Further, a problem stems from a fundamental characteristic of distributed computing: the coexistence in the network of machines that support different operating systems which are often incompatible with others. In fact, the need to actually use the multiplicity...

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