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 Distribution

If you're not sure about the file name format, learn more about wheel file names.

onemkl_devel_sycl_distributed_dft-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl (118.2 kB view details)

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

File details

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

File metadata

  • Download URL: onemkl_devel_sycl_distributed_dft-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 118.2 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_devel_sycl_distributed_dft-2025.3.1-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 eb55caaffa78edbbed69a3bf34b1a4f3893ff0f6cc09936375ec5184b18ebc81
MD5 c4db8482cda007b57e7b70159c441c66
BLAKE2b-256 dd4c807a4bf928f1dde354264677b398de75ebf351c7943e52d3ba15cf196532

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