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

onemkl_sycl_stats-2024.2.1-py2.py3-none-win_amd64.whl (6.0 MB view details)

Uploaded Python 2 Python 3 Windows x86-64

File details

Details for the file onemkl_sycl_stats-2024.2.1-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: onemkl_sycl_stats-2024.2.1-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/2.32.3 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6

File hashes

Hashes for onemkl_sycl_stats-2024.2.1-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7bd9cb3499d19a3577027538f93d95288e4da3d39678e8641a83cd1e13fe1646
MD5 149dc54706eaf6c4ac36d8380dc42475
BLAKE2b-256 f722e41a1a912d82bb715c3d0dc37c256eb6606b10eb840dee4012050df07c27

See more details on using hashes here.

File details

Details for the file onemkl_sycl_stats-2024.2.1-py2.py3-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: onemkl_sycl_stats-2024.2.1-py2.py3-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: Python 2, Python 3
  • 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 onemkl_sycl_stats-2024.2.1-py2.py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 53d166ef0f95681271afd93054160cbc10f2dd4e1147110f30124009364a3c1a
MD5 04f5a2635c6ca76230e5cbd9ad2ee869
BLAKE2b-256 de76a4f5f51437834465d9d6759da62b45d0c8b7fe2c60233953a3fc9c80203c

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