Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*
To install Python environments from Intel channel along with pip-installed packages
python3 create_python_envs.py
python3 run_tests.py
- To run python benchmarks:
python numpy/umath/umath_mem_bench.py - To compile and run native benchmarks (requires icc):
make -C numpy/umath
- To run python benchmarks:
python numpy/random/rng.py - To compile and run native benchmarks (requires icc):
make -C numpy/random
"Accelerating Scientific Python with Intel Optimizations" by Oleksandr Pavlyk, Denis Nagorny, Andres Guzman-Ballen, Anton Malakhov, Hai Liu, Ehsan Totoni, Todd A. Anderson, Sergey Maidanov. Proceedings of the 16th Python in Science Conference (SciPy 2017), July 10 - July 16, Austin, Texas