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_vm-2025.3.1-py2.py3-none-win_amd64.whl (28.2 MB view details)

Uploaded Python 2Python 3Windows x86-64

onemkl_sycl_vm-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl (41.4 MB view details)

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

File details

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

File metadata

  • Download URL: onemkl_sycl_vm-2025.3.1-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 28.2 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/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_vm-2025.3.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 17c785d4d659a9d162c54eb2bb6342ae3378b274be43d27cd0bc3c9869e66103
MD5 23d860b3538d8a3b7f0431b8028311f5
BLAKE2b-256 3a4e90f6c7a55aff4531daad2f72d328df9dd1dbe866e384636f0e107b2e14fc

See more details on using hashes here.

File details

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

File metadata

  • Download URL: onemkl_sycl_vm-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 41.4 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/2.32.5 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_vm-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9407fc88d9ff8e70bda4a049752092c845953f5a23a6da37a063a43f0681017e
MD5 de613243d42fad828c26a6186f11f7db
BLAKE2b-256 6f029ef955b55c6ba18161e64841def1d0d435794436d85b903943f87434cc92

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