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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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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

How to name a process

In the previous example, we identified the processes and how to pass a variable to the target function. However, it is very useful to associate a name to the processes as debugging an application requires the processes to be well marked and identifiable.

How to do it...

The procedure to name a process is similar to that described for the threading library (see the recipe How to determine the current thread in Chapter 2, Thread-based Parallelism, of the present book.)

In the main program, we create a process with a name and a process without a name. Here, the common target is the foo()function:

#Naming a Process: Chapter 3: Process Based Parallelism
import multiprocessing
import time

def foo():
    name = multiprocessing.current_process().name
    print ("Starting %s \n" %name)
    time.sleep(3)
    print ("Exiting %s \n" %name)

if __name__ == '__main__':
    process_with_name = \
                      multiprocessing.Process\
          ...
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