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

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

mkl_devel_dpcpp-2022.0.2-py2.py3-none-win_amd64.whl (166.6 MB view details)

Uploaded Python 2Python 3Windows x86-64

mkl_devel_dpcpp-2022.0.2-py2.py3-none-manylinux1_x86_64.whl (143.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file mkl_devel_dpcpp-2022.0.2-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: mkl_devel_dpcpp-2022.0.2-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 166.6 MB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl_devel_dpcpp-2022.0.2-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 4399acff6dcaa116b07d23b2876e8406a3f208e713fff4fd2d37a9b5ca14f109
MD5 7507b4c78b861ccf295842ea54aa1548
BLAKE2b-256 60f609315bb67704187793845597076ca8ffa06f01beeff54a7d78a1378634f9

See more details on using hashes here.

File details

Details for the file mkl_devel_dpcpp-2022.0.2-py2.py3-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: mkl_devel_dpcpp-2022.0.2-py2.py3-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 143.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.17

File hashes

Hashes for mkl_devel_dpcpp-2022.0.2-py2.py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c2e420ec42b2517c4c458baf9b41703dd248322eae2ea7f90400d88c7da1a560
MD5 5e7e21db04680f533cd8b69cae4d91c4
BLAKE2b-256 bc12cc23bf4bf2b322d93cfc62617b62ec28b09581416c79fd66164fbf1e7a14

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