How to Install and Uninstall intel-mkl-cluster Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: April 30,2024

1. Install "intel-mkl-cluster" package

Please follow the guidelines below to install intel-mkl-cluster on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install intel-mkl-cluster

2. Uninstall "intel-mkl-cluster" package

Please follow the step by step instructions below to uninstall intel-mkl-cluster on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove intel-mkl-cluster $ sudo apt autoclean && sudo apt autoremove

3. Information about the intel-mkl-cluster package on Ubuntu 21.04 (Hirsute Hippo)

Package: intel-mkl-cluster
Architecture: amd64
Version: 2020.4.304-2
Multi-Arch: same
Priority: optional
Section: multiverse/metapackages
Source: intel-mkl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 34
Depends: intel-mkl (= 2020.4.304-2), libmkl-meta-cluster (= 2020.4.304-2)
Recommends: mpich, libopenmpi-dev
Filename: pool/multiverse/i/intel-mkl/intel-mkl-cluster_2020.4.304-2_amd64.deb
Size: 7556
MD5sum: be8c33465031e6b73e6c892b6d5ccfc1
SHA1: 930ff645d7fb8aa79b7ae070897b4488ab9bdee9
SHA256: 74d53c9d1cfad4bcfe6bad0b40e05e07c0f595e9d456d325edfe95d1f0f12160
SHA512: c1a9a7fbd95cb90995c37f9dab22d1fe53145c9d5e9b9d50c36738f0bfd336bd9f0cd00e6cf05c79a3604929e55797c8a7ab7cebcc732e8f774aa931908d8fa4
Homepage: https://software.intel.com/en-us/mkl
Description-en: Intel® Math Kernel Library (Intel® MKL) (Cluster)
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
optimized, extensively threaded routines for applications that require
maximum performance. The library provides Fortran and C 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.
.
This package pulls the development files and libraries of MKL in the present
architecture, including Cluster support.
Description-md5: 7d993e3fecb68de9c41f4c0680cf8a78