How to Install and Uninstall mrmpi-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 10,2024

1. Install "mrmpi-doc" package

This guide covers the steps necessary to install mrmpi-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                mrmpi-doc
            
                    
    
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2. Uninstall "mrmpi-doc" package

Here is a brief guide to show you how to uninstall mrmpi-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                mrmpi-doc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the mrmpi-doc package on Ubuntu 21.10 (Impish Indri)

Package: mrmpi-doc
Architecture: all
Version: 1.0~20140404-3build1
Priority: optional
Section: universe/doc
Source: mrmpi
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 727
Depends: doc-base
Filename: pool/universe/m/mrmpi/mrmpi-doc_1.0~20140404-3build1_all.deb
Size: 472944
MD5sum: e4c04b1c41c243eba0288cf237e9a135
SHA1: 9205f8c1c829834387ac82bef11082ee942851a4
SHA256: fd19f7024996e6270342a0fe1267a84a81edb3d3bea6ad0226d40a95902b69cf
SHA512: d4513237bf0ecf4ddeeb9e786c40781f6ccf846eaf28ae947410c3247b39b8fcfd7490efee13a4be0a4d6828bc04534d223ef96829665b3702050665d6cd2f0a
Homepage: http://mapreduce.sandia.gov/
Description-en: Implements MapReduce operation on top of standard MPI message - doc
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.
.
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.
.
This package contains the documentation for MapReduce-MPI libraries.
Description-md5: af09bdcb3d009724282162a1ceb3991d