How to Install and Uninstall scalapack-common.x86_64 Package on Rocky Linux 9
Last updated: November 01,2024
1. Install "scalapack-common.x86_64" package
Learn how to install scalapack-common.x86_64 on Rocky Linux 9
$
sudo dnf update
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$
sudo dnf install
scalapack-common.x86_64
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2. Uninstall "scalapack-common.x86_64" package
Here is a brief guide to show you how to uninstall scalapack-common.x86_64 on Rocky Linux 9:
$
sudo dnf remove
scalapack-common.x86_64
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$
sudo dnf autoremove
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3. Information about the scalapack-common.x86_64 package on Rocky Linux 9
Last metadata expiration check: 0:38:59 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : scalapack-common
Version : 2.2.0
Release : 1.el9
Architecture : x86_64
Size : 18 k
Source : scalapack-2.2.0-1.el9.src.rpm
Repository : epel
Summary : Common files for scalapack
URL : http://www.netlib.org/scalapack/
License : Public Domain
Description : The ScaLAPACK (or Scalable LAPACK) library includes a subset
: of LAPACK routines redesigned for distributed memory MIMD
: parallel computers. It is currently written in a
: Single-Program-Multiple-Data style using explicit message
: passing for inter-processor communication. It assumes
: matrices are laid out in a two-dimensional block cyclic
: decomposition.
:
: ScaLAPACK is designed for heterogeneous computing and is
: portable on any computer that supports MPI or PVM.
:
: Like LAPACK, the ScaLAPACK routines are based on
: block-partitioned algorithms in order to minimize the frequency
: of data movement between different levels of the memory hierarchy.
: (For such machines, the memory hierarchy includes the off-processor
: memory of other processors, in addition to the hierarchy of registers,
: cache, and local memory on each processor.) The fundamental building
: blocks of the ScaLAPACK library are distributed memory versions (PBLAS)
: of the Level 1, 2 and 3 BLAS, and a set of Basic Linear Algebra
: Communication Subprograms (BLACS) for communication tasks that arise
: frequently in parallel linear algebra computations. In the ScaLAPACK
: routines, all inter-processor communication occurs within the PBLAS and the
: BLACS. One of the design goals of ScaLAPACK was to have the ScaLAPACK
: routines resemble their LAPACK equivalents as much as possible.
:
: This package contains common files which are not specific
: to any MPI implementation.
Available Packages
Name : scalapack-common
Version : 2.2.0
Release : 1.el9
Architecture : x86_64
Size : 18 k
Source : scalapack-2.2.0-1.el9.src.rpm
Repository : epel
Summary : Common files for scalapack
URL : http://www.netlib.org/scalapack/
License : Public Domain
Description : The ScaLAPACK (or Scalable LAPACK) library includes a subset
: of LAPACK routines redesigned for distributed memory MIMD
: parallel computers. It is currently written in a
: Single-Program-Multiple-Data style using explicit message
: passing for inter-processor communication. It assumes
: matrices are laid out in a two-dimensional block cyclic
: decomposition.
:
: ScaLAPACK is designed for heterogeneous computing and is
: portable on any computer that supports MPI or PVM.
:
: Like LAPACK, the ScaLAPACK routines are based on
: block-partitioned algorithms in order to minimize the frequency
: of data movement between different levels of the memory hierarchy.
: (For such machines, the memory hierarchy includes the off-processor
: memory of other processors, in addition to the hierarchy of registers,
: cache, and local memory on each processor.) The fundamental building
: blocks of the ScaLAPACK library are distributed memory versions (PBLAS)
: of the Level 1, 2 and 3 BLAS, and a set of Basic Linear Algebra
: Communication Subprograms (BLACS) for communication tasks that arise
: frequently in parallel linear algebra computations. In the ScaLAPACK
: routines, all inter-processor communication occurs within the PBLAS and the
: BLACS. One of the design goals of ScaLAPACK was to have the ScaLAPACK
: routines resemble their LAPACK equivalents as much as possible.
:
: This package contains common files which are not specific
: to any MPI implementation.