About intel_repack-feedstock

Feedstock license: BSD-3-Clause

About intel_repack

Home: https://github.com/conda-forge/intel_repack-feedstock

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Repackaged Intel libraries

About dal

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneDAL runtime libraries

Documentation: http://oneapi-src.github.io/oneDAL/

Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About dal-include

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Headers for building against Intel® oneDAL libraries

Documentation: http://oneapi-src.github.io/oneDAL/

Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About impi_rt

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® MPI Library

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html

Intel® MPI Library is a multifabric message-passing library that implements the open source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel® and compatible processors. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About mkl

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About mkl-include

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Headers for building against Intel® oneMKL libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library headers for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About dal-devel

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Devel package for building against Intel® oneDAL shared libraries

Documentation: http://oneapi-src.github.io/oneDAL/

Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About dal-static

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Static libraries for Intel® oneDAL

Documentation: http://oneapi-src.github.io/oneDAL/

Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About impi-devel

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Devel package for building against Intel® MPI libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html

Intel® MPI Library is a multifabric message-passing library that implements the open source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel® and compatible processors. This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About mkl-devel

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Devel package for building against Intel® oneMKL libraries

Intel® oneAPI Math Kernel Library headers and libraries for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About mkl-static

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Static libraries for Intel® oneMKL libraries

Intel® oneAPI Math Kernel Library static libraries for developing software that uses oneMKL This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-blas

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-datafitting

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-dft

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-rng

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-stats

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-vm

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-lapack

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About onemkl-sycl-sparse

Home: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Math Kernel Library runtime libraries

Documentation: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

Intel® oneAPI Math Kernel Library is Intel®-Optimized Math Library for Numerical Computing on CPUs & GPUs This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

About intel-openmp

Home: https://www.intel.com/content/www/us/en/developer/tools/overview.html

Package license: LicenseRef-IntelSimplifiedSoftwareOct2022

Summary: Intel® oneAPI Compiler OpenMP runtime

Documentation: https://www.intel.com/content/www/us/en/developer/tools/overview.html

Intel® oneAPI Compiler OpenMP runtime implementation This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.

Current build status

Azure

Variant Status linux_64 win_64

Current release info

Name	Downloads	Version	Platforms

Installing intel_repack

Installing intel_repack from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, dal, dal-devel, dal-include, dal-static, impi-devel, impi_rt, intel-openmp, mkl, mkl-devel, mkl-include, mkl-static, onemkl-sycl-blas, onemkl-sycl-datafitting, onemkl-sycl-dft, onemkl-sycl-lapack, onemkl-sycl-rng, onemkl-sycl-sparse, onemkl-sycl-stats, onemkl-sycl-vm can be installed with conda:

conda install dal dal-devel dal-include dal-static impi-devel impi_rt intel-openmp mkl mkl-devel mkl-include mkl-static onemkl-sycl-blas onemkl-sycl-datafitting onemkl-sycl-dft onemkl-sycl-lapack onemkl-sycl-rng onemkl-sycl-sparse onemkl-sycl-stats onemkl-sycl-vm

or with mamba:

mamba install dal dal-devel dal-include dal-static impi-devel impi_rt intel-openmp mkl mkl-devel mkl-include mkl-static onemkl-sycl-blas onemkl-sycl-datafitting onemkl-sycl-dft onemkl-sycl-lapack onemkl-sycl-rng onemkl-sycl-sparse onemkl-sycl-stats onemkl-sycl-vm

It is possible to list all of the versions of dal available on your platform with conda:

conda search dal --channel conda-forge

or with mamba:

mamba search dal --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search dal --channel conda-forge

# List packages depending on `dal`:
mamba repoquery whoneeds dal --channel conda-forge

# List dependencies of `dal`:
mamba repoquery depends dal --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating intel_repack-feedstock

If you would like to improve the intel_repack recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/intel_repack-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @ZzEeKkAa
• @alexsandruss
• @beckermr
• @isuruf
• @napetrov
• @oleksandr-pavlyk