https://github.com/IntelPython/mkl-service

Python hooks for Intel(R) Math Kernel Library runtime control settings.
https://github.com/IntelPython/mkl-service

mkl python

Last synced: about 2 months ago
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Python hooks for Intel(R) Math Kernel Library runtime control settings.

• Host: GitHub
• URL: https://github.com/IntelPython/mkl-service
• Owner: IntelPython
• License: bsd-3-clause
• Created: 2019-02-19T16:26:13.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-19T14:24:17.000Z (2 months ago)
• Last Synced: 2024-07-27T16:42:58.139Z (about 2 months ago)
• Topics: mkl, python
• Language: Cython
• Size: 115 KB
• Stars: 68
• Watchers: 6
• Forks: 35
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.rst
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# ``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

```