Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Optimization Benchmarks
Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*
Environment Setup
To install Python environments from Intel channel along with pip-installed packages
python3 create_python_envs.py
Run tests
python3 run_tests.py
Run benchmarks
umath
- To run python benchmarks:
python numpy/umath/umath_mem_bench.py - To compile and run native benchmarks (requires icc):
make -C numpy/umath
Random number generation
- To run python benchmarks:
python numpy/random/rng.py - To compile and run native benchmarks (requires icc):
make -C numpy/random
See also
"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