How to Install and Uninstall libsuperlu-dist-dev Package on Kali Linux

Last updated: November 24,2024

1. Install "libsuperlu-dist-dev" package

Please follow the step by step instructions below to install libsuperlu-dist-dev on Kali Linux

$ sudo apt update $ sudo apt install libsuperlu-dist-dev

2. Uninstall "libsuperlu-dist-dev" package

This guide covers the steps necessary to uninstall libsuperlu-dist-dev on Kali Linux:

$ sudo apt remove libsuperlu-dist-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libsuperlu-dist-dev package on Kali Linux

Package: libsuperlu-dist-dev
Source: superlu-dist
Version: 8.2.1+dfsg1-1
Installed-Size: 7270
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libsuperlu-dist8 (= 8.2.1+dfsg1-1), libblas3 | libblas.so.3, libc6 (>= 2.34), libopenmpi3 (>= 4.1.6), gfortran-13 | gfortran-mod-15
Size: 908432
SHA256: be2b551699f8097db3a9de9e516a94cd9d5a6559881f27d88d572a11d5d4ff02
SHA1: d4ce696784b96b2fccbe1a335b77a5bb1c575c6e
MD5sum: 7b89865fc9886ef2da0730470039e98f
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 development files for building client
applications against superlu-dist.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/xiaoyeli/superlu_dist
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/s/superlu-dist/libsuperlu-dist-dev_8.2.1+dfsg1-1_amd64.deb