How to Install and Uninstall libsuperlu-dist7 Package on Kali Linux

Last updated: May 09,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libsuperlu-dist7" package

This is a short guide on how to install libsuperlu-dist7 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libsuperlu-dist7
            
                    
    
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2. Uninstall "libsuperlu-dist7" package

In this section, we are going to explain the necessary steps to uninstall libsuperlu-dist7 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libsuperlu-dist7
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libsuperlu-dist7 package on Kali Linux

Package: libsuperlu-dist7
Source: superlu-dist (7.2.0+dfsg1-2)
Version: 7.2.0+dfsg1-2+b1
Installed-Size: 1562
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libblas3 | libblas.so.3, libc6 (>= 2.32), libcombblas1.16.0 (>= 1.6.2), libgcc-s1 (>= 3.0), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libmetis5 (>= 5.1.0.dfsg), libopenmpi3 (>= 4.1.2), libptscotch-7.0 (>= 7.0.1), libstdc++6 (>= 11)
Size: 501036
SHA256: a82941554905822821bec50e8743e0e15f884d81f65f5dd4e7bcee660fcf81a9
SHA1: 97eff98bfa170927929472f1ed42e9dd54d49e8f
MD5sum: 95d44a6ff9e9d7b015afbfa53e5ad377
Description: Highly distributed solution of sparse linear equations
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.
.
SuperLU_DIST implements the algorithms for distributed memory,
targetting highly parallel distributed memory hybrid systems. The
numerical factorization routines are already implemented for hybrid
systems with multiple GPUs. Further work will be needed to implement
the other phases of the algorithms on the hybrid systems and to
enhance strong scaling to extreme scale.
.
The main library is libsuperlu_dist.so but a fortran wrapper library
is also provided as libsuperlu_dist_fortran.so
.
This package provides the superlu-dist and superlu_dist_fortran
shared libraries.
Description-md5: a030a487e8e91b47850002f33c867c9c
Multi-Arch: same
Homepage: https://github.com/xiaoyeli/superlu_dist
Section: libs
Priority: optional
Filename: pool/main/s/superlu-dist/libsuperlu-dist7_7.2.0+dfsg1-2+b1_amd64.deb