How to Install and Uninstall atlas.x86_64 Package on Fedora 34
Last updated: November 29,2024
1. Install "atlas.x86_64" package
Please follow the instructions below to install atlas.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
atlas.x86_64
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2. Uninstall "atlas.x86_64" package
Learn how to uninstall atlas.x86_64 on Fedora 34:
$
sudo dnf remove
atlas.x86_64
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$
sudo dnf autoremove
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3. Information about the atlas.x86_64 package on Fedora 34
Last metadata expiration check: 3:25:05 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : atlas
Version : 3.10.3
Release : 15.fc34
Architecture : x86_64
Size : 6.1 M
Source : atlas-3.10.3-15.fc34.src.rpm
Repository : fedora
Summary : Automatically Tuned Linear Algebra Software
URL : http://math-atlas.sourceforge.net/
License : BSD
Description : The ATLAS (Automatically Tuned Linear Algebra Software) project is an
: ongoing research effort f(ocusing on applying empirical techniques in
: order to provide portable performance. At present, it provides C and
: Fortran77 interfaces to a portably efficient BLAS implementation, as
: well as a few routines from LAPACK.
:
: The performance improvements in ATLAS are obtained largely via
: compile-time optimizations and tend to be specific to a given hardware
: configuration. In order to package ATLAS some compromises
: are necessary so that good performance can be obtained on a variety
: of hardware. This set of ATLAS binary packages is therefore not
: necessarily optimal for any specific hardware configuration. However,
: the source package can be used to compile customized ATLAS packages;
: see the documentation for information.
Available Packages
Name : atlas
Version : 3.10.3
Release : 15.fc34
Architecture : x86_64
Size : 6.1 M
Source : atlas-3.10.3-15.fc34.src.rpm
Repository : fedora
Summary : Automatically Tuned Linear Algebra Software
URL : http://math-atlas.sourceforge.net/
License : BSD
Description : The ATLAS (Automatically Tuned Linear Algebra Software) project is an
: ongoing research effort f(ocusing on applying empirical techniques in
: order to provide portable performance. At present, it provides C and
: Fortran77 interfaces to a portably efficient BLAS implementation, as
: well as a few routines from LAPACK.
:
: The performance improvements in ATLAS are obtained largely via
: compile-time optimizations and tend to be specific to a given hardware
: configuration. In order to package ATLAS some compromises
: are necessary so that good performance can be obtained on a variety
: of hardware. This set of ATLAS binary packages is therefore not
: necessarily optimal for any specific hardware configuration. However,
: the source package can be used to compile customized ATLAS packages;
: see the documentation for information.