How to Install and Uninstall mld2p4-openmpi.x86_64 Package on CentOS 8 / RHEL 8

Last updated: November 01,2024

1. Install "mld2p4-openmpi.x86_64" package

This guide let you learn how to install mld2p4-openmpi.x86_64 on CentOS 8 / RHEL 8


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                mld2p4-openmpi.x86_64
            
                    
    
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2. Uninstall "mld2p4-openmpi.x86_64" package

This guide covers the steps necessary to uninstall mld2p4-openmpi.x86_64 on CentOS 8 / RHEL 8:


    
        
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                sudo dnf remove
            
                        
                mld2p4-openmpi.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the mld2p4-openmpi.x86_64 package on CentOS 8 / RHEL 8

Last metadata expiration check: 1 day, 6:07:31 ago on Sun May 9 13:03:46 2021.
Available Packages
Name : mld2p4-openmpi
Version : 2.2.2
Release : 6.el8
Architecture : x86_64
Size : 441 k
Source : mld2p4-2.2.2-6.el8.src.rpm
Repository : epel
Summary : OpenMPI mld2p4
URL : https://github.com/sfilippone/mld2p4-2
License : BSD
Description : The MULTI-LEVEL DOMAIN DECOMPOSITION PARALLEL PRECONDITIONERS PACKAGE BASED
: ON PSBLAS (MLD2P4) provides multi-level Schwarz preconditioners,
: to be used in the iterative solutions of sparse linear systems:
:
: Ax=b
:
: where $A$ is a square, real or complex, sparse matrix with a symmetric
: sparsity pattern.
: These preconditioners have the following general features:
:
: - both additive and hybrid multilevel variants are implemented, i.e.
: variants that are additive among the levels and inside each level,
: and variants that are multiplicative among the levels and additive inside
: each level; the basic Additive Schwarz (AS) preconditioners are obtained by
: considering only one level;
:
: - a purely algebraic approach is used to generate a sequence of coarse-level
: corrections to a basic AS preconditioner, without explicitly using any
: information on the geometry of the original problem
: (e.g. the discretization of a PDE).
: The smoothed aggregation technique is applied as algebraic coarsening strategy.