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.

onemkl_sycl_include-2025.3.1-py2.py3-none-win_amd64.whl (238.7 kB view details)

Uploaded Python 2Python 3Windows x86-64

onemkl_sycl_include-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl (236.3 kB view details)

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

File details

Details for the file onemkl_sycl_include-2025.3.1-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: onemkl_sycl_include-2025.3.1-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 238.7 kB
  • 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/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_include-2025.3.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 fcd46d1a0dd12a34fe7e5080b2bc4a983f6643c57baae1474e4bcc4b475ded20
MD5 70f7654f56f28c57d7b7c26c25bf094e
BLAKE2b-256 29a294fc17f70e7934b34517fe9b7a8fd6939ae50b819f9fbe688296e9fcc792

See more details on using hashes here.

File details

Details for the file onemkl_sycl_include-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl.

File metadata

  • Download URL: onemkl_sycl_include-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 236.3 kB
  • 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/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_include-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8cf08d257ecf004f71f6c70b49da9793332daef7e556ab062f342071900fe435
MD5 82b4eab7121205ff29cf104cb22821bb
BLAKE2b-256 7970d64211c4cf78490b273d449a7a4bd62e11a2a61c0b6b8dbef6b7c179c244

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