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. Note that MKLROOT environment variable is not setup automatically via PyPI installation and can be done through multiple ways described in developer documentation. All developer documentation can be found at https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-documentation.html.

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_static-2026.1.0-py2.py3-none-win_amd64.whl (233.9 MB view details)

Uploaded Python 2Python 3Windows x86-64

mkl_static-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl (247.4 MB view details)

Uploaded Python 2Python 3manylinux: glibc 2.28+ x86-64

File details

Details for the file mkl_static-2026.1.0-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: mkl_static-2026.1.0-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 233.9 MB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.34.2 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for mkl_static-2026.1.0-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 32e4c5bd3ae98372dd75cc196ea46f0f5ca0fe1217220bc91001eb12f33a3e88
MD5 1824c862c6ea0bfa5ac15e5d4ed474b8
BLAKE2b-256 13de947be8379312d458a2c78c3895b3e70461db1c8e5bf0c8d37fba0e756f22

See more details on using hashes here.

File details

Details for the file mkl_static-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl.

File metadata

  • Download URL: mkl_static-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 247.4 MB
  • Tags: Python 2, Python 3, manylinux: glibc 2.28+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.34.2 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for mkl_static-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 165953a3acd35b455112102f0e8cf4f38b83fd3ef6536cca103918e557b80189
MD5 4fe97e37a9c177c6f50bd6b61d068681
BLAKE2b-256 8652f40f8d317e6ca13b3efa299841d94dcc1ced76fe509a46723d0dadb4ce4b

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