Difference between revisions of "CSC352 Comparison threading to multiprocessing"

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This is a simple comparison of the execution times of the N-Queen program in a threaded version, and in a multiprocessing version.  This application is ideally parallel in that there is no communication required between threads or processes, except at the end when a solution has been found.  The program stops when the first solution is found.
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__TOC__
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===Experiment===
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* Ran Threaded and Multiprocessing versions of NQueens programs (see [[:Category:Python]] for source code) for N ranging from 10 to 25.
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* Typical shell script:
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<source lang="bash">
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#! /bin/bash
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# multiprocessingNQueens.py
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for i in {10..25}
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do
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    echo $i
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    time python ./mulitprocessingNQueens.py $i | grep user
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done
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</source>
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* recorded the times in spreadsheet (used [[CSC352ParseExecutionTimes.py | Python program]] to parse the data)
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[[Image:CSC352ComparisonMultiprocessingThreadingNQueens.png]]
 
[[Image:CSC352ComparisonMultiprocessingThreadingNQueens.png]]
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* [[Media:CSC352ComparisonMultiProcThreaded.xls.gz | spreadsheet]]
 
* [[Media:CSC352ComparisonMultiProcThreaded.xls.gz | spreadsheet]]
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===Another Comparison===
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[http://www.python.org/dev/peps/pep-0371/ PEP 371] provides a nice collection of benchmarks comparing the execution times of threaded applications versus their multiprocessing equivalent.
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[[Category:CSC352]][[Category:Threads]][[Category:Multiprocessing]]

Latest revision as of 09:22, 11 February 2010

This is a simple comparison of the execution times of the N-Queen program in a threaded version, and in a multiprocessing version. This application is ideally parallel in that there is no communication required between threads or processes, except at the end when a solution has been found. The program stops when the first solution is found.


Experiment

  • Ran Threaded and Multiprocessing versions of NQueens programs (see Category:Python for source code) for N ranging from 10 to 25.
  • Typical shell script:


#! /bin/bash
# multiprocessingNQueens.py

for i in {10..25}
do 
    echo $i
    time python ./mulitprocessingNQueens.py $i | grep user
done


CSC352ComparisonMultiprocessingThreadingNQueens.png

Another Comparison

PEP 371 provides a nice collection of benchmarks comparing the execution times of threaded applications versus their multiprocessing equivalent.







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