mkl-service


Namemkl-service JSON
Version 2.4.2 PyPI version JSON
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home_pagehttps://github.com/IntelPython/mkl-service
SummaryMKL Support Functions
upload_time2024-10-29 16:56:11
maintainerIntel
docs_urlNone
authorIntel
requires_python>=3.9
licenseBSD
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            # ``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
```

            

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