# ``mkl-service`` - Python package for run-time control of Intel(R) Math Kernel Library.
[](https://github.com/IntelPython/mkl-service/actions/workflows/conda-package.yml)
[](https://github.com/IntelPython/mkl-service/actions/workflows/build-with-clang.yml)
[](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
```
Raw data
{
"_id": null,
"home_page": "https://github.com/IntelPython/mkl-service",
"name": "mkl-service",
"maintainer": "Intel",
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "scripting@intel.com",
"keywords": null,
"author": "Intel",
"author_email": null,
"download_url": "https://github.com/IntelPython/mkl-service",
"platform": "Windows",
"description": "# ``mkl-service`` - Python package for run-time control of Intel(R) Math Kernel Library.\r\n[](https://github.com/IntelPython/mkl-service/actions/workflows/conda-package.yml)\r\n[](https://github.com/IntelPython/mkl-service/actions/workflows/build-with-clang.yml)\r\n[](https://securityscorecards.dev/viewer/?uri=github.com/IntelPython/mkl-service)\r\n\r\n\r\n---\r\n\r\nTo install conda package, use `conda install -c https://software.repos.intel.com/python/conda/ mkl-service`, or `conda install -c conda-forge mkl-service`.\r\n\r\nTo install pypi package, use `python -m pip install mkl-service`.\r\n\r\n---\r\n\r\nIntel(R) Math Kernel Library support functions are subdivided into the following groups according to their purpose:\r\n - Version Information\r\n - Threading Control\r\n - Timing\r\n - Memory Management\r\n - Conditional Numerical Reproducibility Control\r\n - Miscellaneous\r\n\r\nA short example, illustrating it use:\r\n\r\n```python\r\nimport tomopy\r\nimport mkl\r\nmkl.domain_set_num_threads(1, domain='fft') # Intel(R) MKL FFT functions to run sequentially\r\n```\r\n",
"bugtrack_url": null,
"license": "BSD",
"summary": "MKL Support Functions",
"version": "2.4.2",
"project_urls": {
"Download": "https://github.com/IntelPython/mkl-service",
"Homepage": "https://github.com/IntelPython/mkl-service"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "339a8b5475b8fe92087c30f393b06406d4dcc726bfef6de9aab46377f5e5fc87",
"md5": "ce42bd1dfa8ceb7b44f19399693780cc",
"sha256": "74cbf9be46b42f099417e92ea806ae2d480dc978dd1f0ec391eccdc3846912ad"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp310-cp310-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "ce42bd1dfa8ceb7b44f19399693780cc",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.9",
"size": 77783,
"upload_time": "2024-10-29T16:56:11",
"upload_time_iso_8601": "2024-10-29T16:56:11.424040Z",
"url": "https://files.pythonhosted.org/packages/33/9a/8b5475b8fe92087c30f393b06406d4dcc726bfef6de9aab46377f5e5fc87/mkl_service-2.4.2-0-cp310-cp310-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "62f1eb369dd4ac94261db3e59e1b79effab7ed6076291ba8c01034e59b1a8fbf",
"md5": "7a35dbc74696656f9433733f6ae7cc3f",
"sha256": "aabbf5ec4d18bde9893a08121ceb17e1c28b4c39b72f88eb0cedbb897e2fc882"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp310-cp310-win_amd64.whl",
"has_sig": false,
"md5_digest": "7a35dbc74696656f9433733f6ae7cc3f",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.9",
"size": 61119,
"upload_time": "2024-10-29T16:55:12",
"upload_time_iso_8601": "2024-10-29T16:55:12.630794Z",
"url": "https://files.pythonhosted.org/packages/62/f1/eb369dd4ac94261db3e59e1b79effab7ed6076291ba8c01034e59b1a8fbf/mkl_service-2.4.2-0-cp310-cp310-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cb1b5fc3bf764be6395962bffd646a39e40da745413e580b76afd49d47e483da",
"md5": "5a5d4cce82fedec9fc732e2919c663e5",
"sha256": "e6cae93deb10b5e0b6fed44996cd20bb5c78420b9e1c741e18bcc20d99e2519e"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp311-cp311-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "5a5d4cce82fedec9fc732e2919c663e5",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": ">=3.9",
"size": 77889,
"upload_time": "2024-10-29T16:55:56",
"upload_time_iso_8601": "2024-10-29T16:55:56.425703Z",
"url": "https://files.pythonhosted.org/packages/cb/1b/5fc3bf764be6395962bffd646a39e40da745413e580b76afd49d47e483da/mkl_service-2.4.2-0-cp311-cp311-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "73171a6f5e398076262dd5221d541b8aaeb0a45f9f4f0fa84af064eca915d5c4",
"md5": "1bd54fbd828a9865069db9cd27228769",
"sha256": "2e67d7477a595b43af89ef5af288be45e53ff934dfcd230e011e392a7d980bd1"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp311-cp311-win_amd64.whl",
"has_sig": false,
"md5_digest": "1bd54fbd828a9865069db9cd27228769",
"packagetype": "bdist_wheel",
"python_version": "cp311",
"requires_python": ">=3.9",
"size": 61142,
"upload_time": "2024-10-29T16:54:59",
"upload_time_iso_8601": "2024-10-29T16:54:59.156794Z",
"url": "https://files.pythonhosted.org/packages/73/17/1a6f5e398076262dd5221d541b8aaeb0a45f9f4f0fa84af064eca915d5c4/mkl_service-2.4.2-0-cp311-cp311-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a725bec8f6415e3e3f96336c8215e708812419b1ceacc2f498803d2c49d6e73a",
"md5": "65aa5d87664241308a50c3a0b6f10292",
"sha256": "d6c46e525babf5514c5ab7b8568a81865f107142c276228416c6057b4e332928"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp312-cp312-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "65aa5d87664241308a50c3a0b6f10292",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": ">=3.9",
"size": 79033,
"upload_time": "2024-10-29T16:55:41",
"upload_time_iso_8601": "2024-10-29T16:55:41.796123Z",
"url": "https://files.pythonhosted.org/packages/a7/25/bec8f6415e3e3f96336c8215e708812419b1ceacc2f498803d2c49d6e73a/mkl_service-2.4.2-0-cp312-cp312-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a3a44bdab72605e82a3bfe40c7fc416a46e1fe6f523c76e195f0973345d77cc6",
"md5": "79fcc587fa8c8aece8eaceb45199420e",
"sha256": "3c4127d97ab3b9ea5e25292c3bc42108006083e7c2f8eb83025648104cdac7be"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp312-cp312-win_amd64.whl",
"has_sig": false,
"md5_digest": "79fcc587fa8c8aece8eaceb45199420e",
"packagetype": "bdist_wheel",
"python_version": "cp312",
"requires_python": ">=3.9",
"size": 61591,
"upload_time": "2024-10-29T16:54:44",
"upload_time_iso_8601": "2024-10-29T16:54:44.780458Z",
"url": "https://files.pythonhosted.org/packages/a3/a4/4bdab72605e82a3bfe40c7fc416a46e1fe6f523c76e195f0973345d77cc6/mkl_service-2.4.2-0-cp312-cp312-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5b78a82c735032d77d1c4848b8d0045bbdd77c96a4738b6ec28361624035b372",
"md5": "876245de6a41f10a06b9bde00b5571ac",
"sha256": "d714d33e3ce301e7115c92b097e7514f12cfdc356d4cc528e60fe5973c32b77c"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp39-cp39-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "876245de6a41f10a06b9bde00b5571ac",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": ">=3.9",
"size": 77777,
"upload_time": "2024-10-29T16:55:27",
"upload_time_iso_8601": "2024-10-29T16:55:27.985030Z",
"url": "https://files.pythonhosted.org/packages/5b/78/a82c735032d77d1c4848b8d0045bbdd77c96a4738b6ec28361624035b372/mkl_service-2.4.2-0-cp39-cp39-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "acc386f53ebf1fc0453ab85bfdb311687b6dfb0563489914b570292cd59e43d4",
"md5": "0372e40bf57d5e26f916b7151044ecb4",
"sha256": "2db832cd124c051ff2b5c2938271ad38e3d9760c841076cea1e204471b7fd796"
},
"downloads": -1,
"filename": "mkl_service-2.4.2-0-cp39-cp39-win_amd64.whl",
"has_sig": false,
"md5_digest": "0372e40bf57d5e26f916b7151044ecb4",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": ">=3.9",
"size": 61110,
"upload_time": "2024-10-29T16:53:59",
"upload_time_iso_8601": "2024-10-29T16:53:59.681528Z",
"url": "https://files.pythonhosted.org/packages/ac/c3/86f53ebf1fc0453ab85bfdb311687b6dfb0563489914b570292cd59e43d4/mkl_service-2.4.2-0-cp39-cp39-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-29 16:56:11",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "IntelPython",
"github_project": "mkl-service",
"travis_ci": true,
"coveralls": false,
"github_actions": true,
"lcname": "mkl-service"
}
JSON
