How to Install and Uninstall libblacs2-openmpi4 Package on openSuSE Tumbleweed
Last updated: November 27,2024
1. Install "libblacs2-openmpi4" package
Please follow the guidelines below to install libblacs2-openmpi4 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libblacs2-openmpi4
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2. Uninstall "libblacs2-openmpi4" package
In this section, we are going to explain the necessary steps to uninstall libblacs2-openmpi4 on openSuSE Tumbleweed:
$
sudo zypper remove
libblacs2-openmpi4
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3. Information about the libblacs2-openmpi4 package on openSuSE Tumbleweed
Information for package libblacs2-openmpi4:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libblacs2-openmpi4
Version : 2.1.0-10.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 403.9 KiB
Installed : No
Status : not installed
Source package : scalapack-openmpi4-2.1.0-10.2.src
Upstream URL : http://www.netlib.org/scalapack/
Summary : Basic Linear Algebra Communication Subprograms
Description :
The BLACS (Basic Linear Algebra Communication Subprograms) project
provides a linear algebra oriented message passing interface for
a large range of distributed memory platforms.
The length of time required to implement efficient distributed memory
algorithms makes it impractical to rewrite programs for every new
parallel machine. The BLACS exist in order to make linear algebra
applications both easier to program and more portable.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libblacs2-openmpi4
Version : 2.1.0-10.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 403.9 KiB
Installed : No
Status : not installed
Source package : scalapack-openmpi4-2.1.0-10.2.src
Upstream URL : http://www.netlib.org/scalapack/
Summary : Basic Linear Algebra Communication Subprograms
Description :
The BLACS (Basic Linear Algebra Communication Subprograms) project
provides a linear algebra oriented message passing interface for
a large range of distributed memory platforms.
The length of time required to implement efficient distributed memory
algorithms makes it impractical to rewrite programs for every new
parallel machine. The BLACS exist in order to make linear algebra
applications both easier to program and more portable.