Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs.
Raw data
{
"_id": null,
"home_page": "https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html",
"name": "mkl-devel",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Intel Corporation",
"author_email": "scripting@intel.com",
"download_url": null,
"platform": null,
"description": "Intel\u00ae oneAPI Math Kernel Library (Intel\u00ae oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel\u00ae CPUs and GPUs.\r\n\r\n",
"bugtrack_url": null,
"license": "Intel Simplified Software License",
"summary": "Intel\u00ae oneAPI Math Kernel Library",
"version": "2025.0.1",
"project_urls": {
"Homepage": "https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "fde1b13109f2d31fc6b1e753d0746317a62a119292ec127e196b409ad420587b",
"md5": "f16f287c7220e709fad9128f2061a4b3",
"sha256": "18662a91ce12613622b7e002b7f5dcb790bf22bba83cef80179b9d2d3458ed2d"
},
"downloads": -1,
"filename": "mkl_devel-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "f16f287c7220e709fad9128f2061a4b3",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 31458,
"upload_time": "2024-11-19T15:39:08",
"upload_time_iso_8601": "2024-11-19T15:39:08.703509Z",
"url": "https://files.pythonhosted.org/packages/fd/e1/b13109f2d31fc6b1e753d0746317a62a119292ec127e196b409ad420587b/mkl_devel-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1fb103a2388889052dd018cebf8b915599015161519c6af89e42e4a31a62e2f0",
"md5": "f21cc9b85ef66044e1572d33c30dc018",
"sha256": "fc62df9c689722dadf282af6380538063dbd4fd3d328aa3c60eb72a521d06789"
},
"downloads": -1,
"filename": "mkl_devel-2025.0.1-py2.py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "f21cc9b85ef66044e1572d33c30dc018",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 13812446,
"upload_time": "2024-11-19T15:36:47",
"upload_time_iso_8601": "2024-11-19T15:36:47.995425Z",
"url": "https://files.pythonhosted.org/packages/1f/b1/03a2388889052dd018cebf8b915599015161519c6af89e42e4a31a62e2f0/mkl_devel-2025.0.1-py2.py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-19 15:39:08",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "mkl-devel"
}
JSON