How to Install and Uninstall mpiP_3_5-gnu-openmpi3-hpc Package on openSUSE Leap
Last updated: November 22,2024
1. Install "mpiP_3_5-gnu-openmpi3-hpc" package
This guide let you learn how to install mpiP_3_5-gnu-openmpi3-hpc on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
mpiP_3_5-gnu-openmpi3-hpc
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2. Uninstall "mpiP_3_5-gnu-openmpi3-hpc" package
Learn how to uninstall mpiP_3_5-gnu-openmpi3-hpc on openSUSE Leap:
$
sudo zypper remove
mpiP_3_5-gnu-openmpi3-hpc
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3. Information about the mpiP_3_5-gnu-openmpi3-hpc package on openSUSE Leap
Information for package mpiP_3_5-gnu-openmpi3-hpc:
--------------------------------------------------
Repository : Main Repository
Name : mpiP_3_5-gnu-openmpi3-hpc
Version : 3.5-1.53
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 4.3 MiB
Installed : No
Status : not installed
Source package : mpiP_3_5-gnu-openmpi3-hpc-3.5-1.53.src
Upstream URL : https://github.com/LLNL/mpiP
Summary : A profiling library for MPI applications
Description :
mpiP is a profiling library for MPI applications.
It only collects statistical information about MPI functions, so mpiP
generates less overhead and much less data than tracing
tools. All the information captured by mpiP is task-local. It only
uses communication during report generation, typically at the end of
the experiment, to merge results from all of the tasks into one output
file.
--------------------------------------------------
Repository : Main Repository
Name : mpiP_3_5-gnu-openmpi3-hpc
Version : 3.5-1.53
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 4.3 MiB
Installed : No
Status : not installed
Source package : mpiP_3_5-gnu-openmpi3-hpc-3.5-1.53.src
Upstream URL : https://github.com/LLNL/mpiP
Summary : A profiling library for MPI applications
Description :
mpiP is a profiling library for MPI applications.
It only collects statistical information about MPI functions, so mpiP
generates less overhead and much less data than tracing
tools. All the information captured by mpiP is task-local. It only
uses communication during report generation, typically at the end of
the experiment, to merge results from all of the tasks into one output
file.