Python hooks for Intel® oneAPI Math Kernel Library (oneMKL) runtime control settings
Project description
mkl-service
- Python package for run-time control of Intel® oneAPI Math Kernel Library (oneMKL).
To install conda package, use conda install -c https://software.repos.intel.com/python/conda/ mkl-service
, or conda install -c conda-forge mkl-service
.
To install PyPI package, use python -m pip install mkl-service
.
Intel® oneAPI Math Kernel Library (oneMKL) supports functions are subdivided into the following groups according to their purpose:
- Version Information
- Threading Control
- Timing
- Memory Management
- Conditional Numerical Reproducibility Control
- Miscellaneous
A short example, illustrating its use:
>>> import mkl
>>> mkl.domain_set_num_threads(1, domain="fft") # oneMKL FFT functions to run sequentially
# 'success'
For more information about the usage of support functions see Developer Reference for Intel® oneAPI Math Kernel Library for C.
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