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_dft-2026.1.0-py2.py3-none-win_amd64.whl (6.0 MB view details)

Uploaded Python 2Python 3Windows x86-64

onemkl_sycl_dft-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl (6.7 MB view details)

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

File details

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

File metadata

  • Download URL: onemkl_sycl_dft-2026.1.0-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 6.0 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 onemkl_sycl_dft-2026.1.0-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 f57ec87c2af23dbae00f94fd3941c2443beb5330c82eec8475d8c219b13e35bc
MD5 525fe6bef3f2348e20de28747600c0a7
BLAKE2b-256 01afea8b355642e61c0176d033f873917c707ff8fb7d8a66c51ef0c4ecd94cf9

See more details on using hashes here.

File details

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

File metadata

  • Download URL: onemkl_sycl_dft-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 6.7 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 onemkl_sycl_dft-2026.1.0-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 71bd34f8c25b6869a440a01eadd2743151601bf2d011b01c11206ec81f6de80b
MD5 247ed36afe8a97f59375c2e5f2879e9f
BLAKE2b-256 716080d4fa8e4e100f290572cf99856e067195fb9d22a7f462b8e0993833c526

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