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_lapack-2026.0.0-py2.py3-none-win_amd64.whl (6.4 MB view details)

Uploaded Python 2Python 3Windows x86-64

onemkl_sycl_lapack-2026.0.0-py2.py3-none-manylinux_2_28_x86_64.whl (8.4 MB view details)

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

File details

Details for the file onemkl_sycl_lapack-2026.0.0-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: onemkl_sycl_lapack-2026.0.0-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 6.4 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/2.33.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_lapack-2026.0.0-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 823cbe6c27ffc9a17838a57249e5df4f7c009d94b9bd286e6af1df7ca7b82721
MD5 cb77beee769764871c61e2474899afd8
BLAKE2b-256 100f836ef626b6f36466d0b02a14e9711187408aafe9daed6503800c1c7f4a18

See more details on using hashes here.

File details

Details for the file onemkl_sycl_lapack-2026.0.0-py2.py3-none-manylinux_2_28_x86_64.whl.

File metadata

  • Download URL: onemkl_sycl_lapack-2026.0.0-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 8.4 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/2.33.1 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_lapack-2026.0.0-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f128bc8142082a9de735a6d0b8e2de3d8ca145db57616e2dd8d2a26f5df1714b
MD5 37440ee1f71e28586de0d31fb4d16aec
BLAKE2b-256 79415f471e4c2333dfa4641aa94bc432a369268b6223c333b5a38d1f97505ce6

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