How to Install and Uninstall libmrmpi1 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 15,2024

1. Install "libmrmpi1" package

Learn how to install libmrmpi1 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libmrmpi1
            
                    
    
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2. Uninstall "libmrmpi1" package

Here is a brief guide to show you how to uninstall libmrmpi1 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libmrmpi1
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libmrmpi1 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libmrmpi1
Architecture: amd64
Version: 1.0~20140404-3build1
Priority: optional
Section: universe/devel
Source: mrmpi
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 208
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.0.3~rc4), libstdc++6 (>= 5)
Filename: pool/universe/m/mrmpi/libmrmpi1_1.0~20140404-3build1_amd64.deb
Size: 62328
MD5sum: 254fd62d9fc425a0f8f6669a223d1c64
SHA1: 954724bd3c42150991f8738a2326ff8338257485
SHA256: a7853bd35bbda6a220fed2b4fdf5e301e427f281fcb5a4aac703908450d7d3f4
SHA512: 23546e1f265c587d2a486dbf66b9369c17dbc51ac34ff66b9d706aba5951c28a3726ff0a8f837ea68c9e8e727137ca4e04261a5f3c3cc905437018629c5b64f8
Homepage: http://mapreduce.sandia.gov/
Description-en: Implements MapReduce operation on top of standard MPI message - runtime
The MapReduce-MPI (MR-MPI) library is open-source software that implements the
MapReduce operation popularized by Google on top of standard MPI message
passing.
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The MR-MPI library is written in C++ and is callable from hi-level languages
such as C++, C, Fortran. A Python wrapper is also included, so MapReduce
programs can be written in Python, including map() and reduce() user callback
methods. A hi-level scripting interface to the MR-MPI library, called OINK, is
also included which can be used to develop and chain MapReduce algorithms
together in scripts with commands that simplify data management tasks. OINK has
its own manual and doc pages.
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This package contains the libraries needed to run MapReduce-MPI applications.
Description-md5: 9a698058ad1c96ec48e87ca5bb14aa20