Multiprocessing In Python

Calculating Fibonachi sequence siries and parallel; time comparizon!

Roadmap

1. Roadmap
2. Installation
3. Usage/Examples
4. Running Tests
5. Acknowledgements

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Installation

requires python >=3.6

git clone https://github.com/MerlinEmris/multiprocessing_in_python.git

python multiproces\multiprocess.py

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Usage/Examples

App gets 2 variables from num to num2 Application calculates Fibonachi secuence siries as normal python app and in parallel where task is seperated between cpu cores.

python multiproces\multiprocess.py 12 22

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python multiproces\multiprocess.py 1 40

cpu core count:16
values are 1 - 40
parallel: [[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181, 6765, 10946, 17711, 28657, 46368, 75025,
121393, 196418, 317811, 514229, 832040, 1346269, 2178309, 3524578, 5702887, 9227465, 14930352, 24157817, 39088169, 63245986, 102334155]]
parallel time:15.866930961608887
series: [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181, 6765, 10946, 17711, 28657, 46368, 75025, 121393, 196418, 317811, 514229, 832040, 1346269, 2178309, 3524578, 5702887, 9227465, 14930352, 24157817, 39088169, 63245986, 102334155]
series time:36.89705181121826
delta time (series/parallel):2.325405707032644

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Running Tests

To run tests, run the following command

  python multiproces\test.py

Acknowledgements

• Process-based parallelism
• Multiprocessing in Python