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.

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

mkl_dpcpp-2025.0.1-py2.py3-none-win_amd64.whl (3.8 kB view details)

Uploaded Python 2 Python 3 Windows x86-64

mkl_dpcpp-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl (3.8 kB view details)

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

File details

Details for the file mkl_dpcpp-2025.0.1-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: mkl_dpcpp-2025.0.1-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 3.8 kB
  • 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/2.32.3 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for mkl_dpcpp-2025.0.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 8657e9edf615f5cdec32ff9cf570476aec74b7c58148c318a097081aa1e26514
MD5 9b27f2f437da4944c550f6b78f3afc19
BLAKE2b-256 846628b47370e2821c2e5ee7ed4c6556ae55e3b34db0e803f75987aeeb97c8dd

See more details on using hashes here.

File details

Details for the file mkl_dpcpp-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl.

File metadata

  • Download URL: mkl_dpcpp-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl
  • Upload date:
  • Size: 3.8 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/2.32.3 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for mkl_dpcpp-2025.0.1-py2.py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1a6076b061329fbf80489a84efdc226098753318a505ddfc9af5d03b4088fbb2
MD5 9493407e47fd6920a027543ff1e56f63
BLAKE2b-256 a6aab1503f4caf3d0bdab5c50b8d8367ad138a613eed0d38e5778570566ddf29

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page