How to Install and Uninstall psblas3-openmpi.x86_64 Package on AlmaLinux 8
Last updated: November 01,2024
1. Install "psblas3-openmpi.x86_64" package
Please follow the steps below to install psblas3-openmpi.x86_64 on AlmaLinux 8
$
sudo dnf update
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$
sudo dnf install
psblas3-openmpi.x86_64
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2. Uninstall "psblas3-openmpi.x86_64" package
This is a short guide on how to uninstall psblas3-openmpi.x86_64 on AlmaLinux 8:
$
sudo dnf remove
psblas3-openmpi.x86_64
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$
sudo dnf autoremove
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3. Information about the psblas3-openmpi.x86_64 package on AlmaLinux 8
Last metadata expiration check: 1:37:17 ago on Mon Sep 5 03:22:42 2022.
Available Packages
Name : psblas3-openmpi
Version : 3.7.0.1
Release : 2.el8
Architecture : x86_64
Size : 1.5 M
Source : psblas3-3.7.0.1-2.el8.src.rpm
Repository : epel
Summary : OpenMPI psblas3
URL : https://github.com/sfilippone/psblas3
License : BSD
Description : The PSBLAS library, developed with the aim to facilitate the parallelization
: of computationally intensive scientific applications,
: is designed to address parallel implementation of iterative solvers for sparse
: linear systems through the distributed memory paradigm.
: It includes routines for multiplying sparse matrices by dense matrices,
: solving block diagonal systems with triangular diagonal entries,
: preprocessing sparse matrices, and contains additional routines for
: dense matrix operations.
: The current implementation of PSBLAS addresses a distributed memory execution
: model operating with message passing.
: This is a OpenMPI PSBLAS version.
Available Packages
Name : psblas3-openmpi
Version : 3.7.0.1
Release : 2.el8
Architecture : x86_64
Size : 1.5 M
Source : psblas3-3.7.0.1-2.el8.src.rpm
Repository : epel
Summary : OpenMPI psblas3
URL : https://github.com/sfilippone/psblas3
License : BSD
Description : The PSBLAS library, developed with the aim to facilitate the parallelization
: of computationally intensive scientific applications,
: is designed to address parallel implementation of iterative solvers for sparse
: linear systems through the distributed memory paradigm.
: It includes routines for multiplying sparse matrices by dense matrices,
: solving block diagonal systems with triangular diagonal entries,
: preprocessing sparse matrices, and contains additional routines for
: dense matrix operations.
: The current implementation of PSBLAS addresses a distributed memory execution
: model operating with message passing.
: This is a OpenMPI PSBLAS version.