Skip to main content

Intel® oneAPI Math Kernel Library

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

mkl-2022.0.2-py2.py3-none-win_amd64.whl (229.4 MB view details)

Uploaded Python 2Python 3Windows x86-64

mkl-2022.0.2-py2.py3-none-win32.whl (128.9 MB view details)

Uploaded Python 2Python 3Windows x86

mkl-2022.0.2-py2.py3-none-manylinux1_x86_64.whl (256.0 MB view details)

Uploaded Python 2Python 3

mkl-2022.0.2-py2.py3-none-manylinux1_i686.whl (161.7 MB view details)

Uploaded Python 2Python 3

File details

Details for the file mkl-2022.0.2-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: mkl-2022.0.2-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 229.4 MB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl-2022.0.2-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 07fa7c2dfab146d1411ccd6e3e2fa6e3ab9efa8186706e0421c7d49d7986efe0
MD5 5afb25ad98f5daabd386cb4176499784
BLAKE2b-256 3fbafd77f2e0f7adb54bdfc6eeace49ddb3af3b7779e786e60e9ef339a24598e

See more details on using hashes here.

File details

Details for the file mkl-2022.0.2-py2.py3-none-win32.whl.

File metadata

  • Download URL: mkl-2022.0.2-py2.py3-none-win32.whl
  • Upload date:
  • Size: 128.9 MB
  • Tags: Python 2, Python 3, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl-2022.0.2-py2.py3-none-win32.whl
Algorithm Hash digest
SHA256 37f47a202ac68d1da217b31573ae0534db3542327d1807a56b54158f3e6bb41f
MD5 3daf73145dbcd5fc714e343d126396d1
BLAKE2b-256 0a4ff25b5e3accec21ef12265a320ec9b6ebb0ddbb83b3294b7a6a5d61858169

See more details on using hashes here.

File details

Details for the file mkl-2022.0.2-py2.py3-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: mkl-2022.0.2-py2.py3-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 256.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl-2022.0.2-py2.py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c5c79d9287cdcfb650986e3123fdb81e9dc110af90c7eef38afafc11b4224678
MD5 d5b4fbc39d32a49d1c4ba3735a0934de
BLAKE2b-256 7799655f03109d3fbc6aa70da25e2d824ada9c26d9d64762bb65dc03cf63a3f7

See more details on using hashes here.

File details

Details for the file mkl-2022.0.2-py2.py3-none-manylinux1_i686.whl.

File metadata

  • Download URL: mkl-2022.0.2-py2.py3-none-manylinux1_i686.whl
  • Upload date:
  • Size: 161.7 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl-2022.0.2-py2.py3-none-manylinux1_i686.whl
Algorithm Hash digest
SHA256 0d400f3818ec67d9643dec0faf738271b28532f2ff25edc15002c951b2aed442
MD5 f26e5bd7d1de57df77459984c3fe69b3
BLAKE2b-256 759788ece2f0800245879d371c3e92314a889c08fb9db81fec182673fd4b6f7c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page