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_blas-2025.3.1-py2.py3-none-win_amd64.whl (17.5 MB view details)

Uploaded Python 2Python 3Windows x86-64

onemkl_sycl_blas-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl (22.6 MB view details)

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

File details

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

File metadata

  • Download URL: onemkl_sycl_blas-2025.3.1-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 17.5 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_blas-2025.3.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 8a094fb2d6f393e6beb030e507475cdb704178ac7afec80b634a5d1eb848b557
MD5 40ca27a58c571e92a131035076320d8e
BLAKE2b-256 e14b1c60d831fb54c13fead3bb8e98d44721059b9bbad44184a507c42589234f

See more details on using hashes here.

File details

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

File metadata

  • Download URL: onemkl_sycl_blas-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 22.6 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_blas-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b956c14db44990579cf376eb72ba6010b0c83ae27fc132f66752b1b337d9e728
MD5 545c03a01b302ef9205c551bb7e81296
BLAKE2b-256 5117497d29cd13029f4835383d95e644d1602dafa9b7887d298ba9ea77734dce

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