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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| + | <br /> | ||
| + | __TOC__ | ||
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===Experiment=== | ===Experiment=== | ||
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* Typical shell script: | * Typical shell script: | ||
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<source lang="bash"> | <source lang="bash"> | ||
#! /bin/bash | #! /bin/bash | ||
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done | done | ||
</source> | </source> | ||
| + | <br /> | ||
* recorded the times in spreadsheet (used [[CSC352ParseExecutionTimes.py | Python program]] to parse the data) | * recorded the times in spreadsheet (used [[CSC352ParseExecutionTimes.py | Python program]] to parse the data) | ||
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* [[Media:CSC352ComparisonMultiProcThreaded.xls.gz | spreadsheet]] | * [[Media:CSC352ComparisonMultiProcThreaded.xls.gz | spreadsheet]] | ||
| + | ===Another Comparison=== | ||
| + | |||
| + | [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. | ||
<br /> | <br /> | ||
<br /> | <br /> | ||
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.
Contents
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
- recorded the times in spreadsheet (used Python program to parse the data)
Another Comparison
PEP 371 provides a nice collection of benchmarks comparing the execution times of threaded applications versus their multiprocessing equivalent.
