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-include",
"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": "7b4274f3ed839c59e7bf3992804ce172590b4acac01dac4157f81daeb7774202",
"md5": "65253726c16e64705254195a9c1f1a59",
"sha256": "a70b90ce07f7a970a6fc8b324e416e0e978edec751b2d2e1b52d511f886fe506"
},
"downloads": -1,
"filename": "mkl_include-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "65253726c16e64705254195a9c1f1a59",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 1312897,
"upload_time": "2024-11-19T15:39:06",
"upload_time_iso_8601": "2024-11-19T15:39:06.807581Z",
"url": "https://files.pythonhosted.org/packages/7b/42/74f3ed839c59e7bf3992804ce172590b4acac01dac4157f81daeb7774202/mkl_include-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cdb7092df7c41f57b3a41bb60392081564da0ea64ae300128fa9d44dd7acd84b",
"md5": "0cb2d3a7393be5ace59c144ac3da6f22",
"sha256": "1149c1b34bc41166c0bb09c103e42ae251f0a9d190b886a99124b70632b3bc8d"
},
"downloads": -1,
"filename": "mkl_include-2025.0.1-py2.py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "0cb2d3a7393be5ace59c144ac3da6f22",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 1320057,
"upload_time": "2024-11-19T15:37:07",
"upload_time_iso_8601": "2024-11-19T15:37:07.883947Z",
"url": "https://files.pythonhosted.org/packages/cd/b7/092df7c41f57b3a41bb60392081564da0ea64ae300128fa9d44dd7acd84b/mkl_include-2025.0.1-py2.py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-19 15:39:06",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "mkl-include"
}