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: 14 days 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: 2024-10-11T15:33:27.000Z (about 1 month ago)
• Last Synced: 2024-10-12T06:28:46.371Z (about 1 month ago)
• Topics: mkl, python
• Language: Cython
• Size: 139 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.

[![Conda package](https://github.com/IntelPython/mkl-service/actions/workflows/conda-package.yml/badge.svg)](https://github.com/IntelPython/mkl-service/actions/workflows/conda-package.yml)

[![Build mkl-service with clang](https://github.com/IntelPython/mkl-service/actions/workflows/build-with-clang.yml/badge.svg)](https://github.com/IntelPython/mkl-service/actions/workflows/build-with-clang.yml)

[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/IntelPython/mkl-service/badge)](https://securityscorecards.dev/viewer/?uri=github.com/IntelPython/mkl-service)

---

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(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

```