How to Install and Uninstall psblas3-mpich.i686 Package on Fedora 39
Last updated: November 26,2024
1. Install "psblas3-mpich.i686" package
This is a short guide on how to install psblas3-mpich.i686 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
psblas3-mpich.i686
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2. Uninstall "psblas3-mpich.i686" package
In this section, we are going to explain the necessary steps to uninstall psblas3-mpich.i686 on Fedora 39:
$
sudo dnf remove
psblas3-mpich.i686
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$
sudo dnf autoremove
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3. Information about the psblas3-mpich.i686 package on Fedora 39
Last metadata expiration check: 2:15:47 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : psblas3-mpich
Version : 3.8.0
Release : 7.fc39
Architecture : i686
Size : 1.7 M
Source : psblas3-3.8.0-7.fc39.src.rpm
Repository : fedora
Summary : MPICH 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 MPICH PSBLAS version.
Available Packages
Name : psblas3-mpich
Version : 3.8.0
Release : 7.fc39
Architecture : i686
Size : 1.7 M
Source : psblas3-3.8.0-7.fc39.src.rpm
Repository : fedora
Summary : MPICH 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 MPICH PSBLAS version.