# ``mkl-service`` - Python package for run-time control of Intel(R) Math Kernel Library.
[![Build Status](https://travis-ci.com/IntelPython/mkl-service.svg?branch=master)](https://travis-ci.com/IntelPython/mkl-service)
See the [blog](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html) announcing the release.
---
To install conda package, use `conda install -c intel mkl-service`, or `conda install -c conda-forge mkl-service`.
To install pypi package, use `python -m pip install mkl-service`.
---
Intel(R) Math Kernel Library support 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 it use:
```python
import tomopy
import mkl
mkl.domain_set_num_threads(1, domain='fft') # Intel(R) MKL FFT functions to run sequentially
```
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