python-benchmark-thread-vs-process 0.1.4

Python Benchmark: multi-thread vs multi-process

python-benchmark-thread-vs-process

A benchmark on speed evaluation between multi-thread and multi-process in Python

• PyPI: https://pypi.org/project/python-benchmark-thread-vs-process/
• Github: https://github.com/minhng-info/python-benchmark-thread-vs-process

Installation

$ sudo pip3 install python_benchmark_thread_vs_process

Note: this package only supports Python 3.

Install package and run test in one command:

$ sudo pip3 install python_benchmark_thread_vs_process && python_benchmark_thread_vs_process

Usage

Run benchmarking with the following command:

$ python_benchmark_thread_vs_process

Note: It takes up to 15 minutes to finish the test. Please be patient!

Benchmarking Results

Try to keep your CPUs usage free as much as possible before benchmarking.

For latest benchmarking result, please checkout @ https://github.com/minhng-info/python-benchmark-thread-vs-process

Num CPUs	CPU Model	Current CPU Freq (MHz)	Multi-Thread Time (s)	Multi-Process Time (s)	Total Test Operation	Contributor
1	Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz	2500	11.7581	12.0673	100	@minhng92
4	Intel(R) Core(TM) i5-2500 CPU @ 3.30GHz	2474	55.3840	8.8589	400	@minhng92
4	Intel(R) Core(TM) i7-6500U CPU @ 2.50GHz	2683	20.9098	10.9195	400	@minhng92
16	Intel(R) Xeon(R) CPU E5-2640 v3 @ 2.60GHz	2597	98.6584	7.1033	1600	@minhng92
24	Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz	1331	372.3926	18.5923	2400	@minhng92
32	Intel(R) Xeon(R) Silver 4108 CPU @ 1.80GHz	809	478.8115	15.0538	3200	@minhng92
72	Intel(R) Xeon(R) Gold 5220S CPU @ 2.70GHz	1016	550.4936	11.6759	7200	@minhng92

Contributing

Benchmarking

To contribute to our benchmark table, please follow these steps:

• Step 1: Install package: pip install python-benchmark-thread-vs-process
• Step 2: Run benchmarking on your machine / server with the command: python_benchmark_thread_vs_process
• Step 3: If your system information has not been included in the benchmarking results, please create a new issue ticket (with enhancement label) and submit your benchmarking result. Your submission is welcome!
• Step 4: We'll review and update the benchmarking results.

Code development

• Step 1. Fork on master branch.
• Step 2. Install pre-commit on the local dev environment.

pip install pre-commit
pre-commit install

• Step 3. Write unit-test (if any).
• Step 4. Write code to pass the tests.
• Step 5. Make sure that the new code passes all the pre-commmit conditions.

sh pre_commit.sh

• Step 6. Create pull request.