How to Install and Uninstall superlu_dist-mpich.x86_64 Package on Oracle Linux 9

Last updated: September 23,2024

1. Install "superlu_dist-mpich.x86_64" package

Please follow the guidelines below to install superlu_dist-mpich.x86_64 on Oracle Linux 9

$ sudo dnf update $ sudo dnf install superlu_dist-mpich.x86_64

2. Uninstall "superlu_dist-mpich.x86_64" package

Learn how to uninstall superlu_dist-mpich.x86_64 on Oracle Linux 9:

$ sudo dnf remove superlu_dist-mpich.x86_64 $ sudo dnf autoremove

3. Information about the superlu_dist-mpich.x86_64 package on Oracle Linux 9

Last metadata expiration check: 0:36:10 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : superlu_dist-mpich
Epoch : 1
Version : 8.1.1
Release : 2.el9
Architecture : x86_64
Size : 482 k
Source : superlu_dist-8.1.1-2.el9.src.rpm
Repository : epel
Summary : Solution of large, sparse, nonsymmetric systems of linear equations - mpich
URL : http://crd-legacy.lbl.gov/~xiaoye/SuperLU/
License : BSD
Description :
: SuperLU is a general purpose library for the direct solution of large,
: sparse, nonsymmetric systems of linear equations. The library is
: written in C and is callable from either C or Fortran program. It
: uses MPI, OpenMP and CUDA to support various forms of parallelism. It
: supports both real and complex datatypes, both single and double
: precision, and 64-bit integer indexing. The library routines performs
: an LU decomposition with partial pivoting and triangular system solves
: through forward and back substitution. The LU factorization routines
: can handle non-square matrices but the triangular solves are performed
: only for square matrices. The matrix columns may be preordered
: (before factorization) either through library or user supplied
: routines. This preordering for sparsity is completely separate from
: the factorization. Working precision iterative refinement subroutines
: are provided for improved backward stability. Routines are also
: provided to equilibrate the system, estimate the condition number,
: calculate the relative backward error, and estimate error bounds for
: the refined solutions.
:
: This version uses MPI and OpenMP.
:
: This is the mpich version.