How to Install and Uninstall mpich Package on openSuSE Tumbleweed
Last updated: January 24,2025
1. Install "mpich" package
Please follow the step by step instructions below to install mpich on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
mpich
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2. Uninstall "mpich" package
Here is a brief guide to show you how to uninstall mpich on openSuSE Tumbleweed:
$
sudo zypper remove
mpich
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3. Information about the mpich package on openSuSE Tumbleweed
Information for package mpich:
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : mpich
Version : 4.1.2-1.4
Arch : x86_64
Vendor : openSUSE
Installed Size : 43.9 MiB
Installed : No
Status : not installed
Source package : mpich-4.1.2-1.4.src
Upstream URL : http://www.mpich.org/
Summary : High-performance and widely portable implementation of MPI
Description :
MPICH is a high performance and widely portable implementation of the Message
Passing Interface (MPI) standard.
The goals of MPICH are:
* to provide an MPI implementation that efficiently supports different
computation and communication platforms including commodity clusters
(desktop systems, shared-memory systems, multicore architectures),
high-speed networks and proprietary high-end computing systems
(Blue Gene, Cray)
* to enable cutting-edge research in MPI through an easy-to-extend modular
framework for other derived implementations
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : mpich
Version : 4.1.2-1.4
Arch : x86_64
Vendor : openSUSE
Installed Size : 43.9 MiB
Installed : No
Status : not installed
Source package : mpich-4.1.2-1.4.src
Upstream URL : http://www.mpich.org/
Summary : High-performance and widely portable implementation of MPI
Description :
MPICH is a high performance and widely portable implementation of the Message
Passing Interface (MPI) standard.
The goals of MPICH are:
* to provide an MPI implementation that efficiently supports different
computation and communication platforms including commodity clusters
(desktop systems, shared-memory systems, multicore architectures),
high-speed networks and proprietary high-end computing systems
(Blue Gene, Cray)
* to enable cutting-edge research in MPI through an easy-to-extend modular
framework for other derived implementations