How to Install and Uninstall libmrmpi-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 23,2024

1. Install "libmrmpi-dev" package

This tutorial shows how to install libmrmpi-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libmrmpi-dev
            
                    
    
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2. Uninstall "libmrmpi-dev" package

This is a short guide on how to uninstall libmrmpi-dev on Ubuntu 21.10 (Impish Indri):


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

Package: libmrmpi-dev
Architecture: amd64
Version: 1.0~20140404-3build1
Priority: optional
Section: universe/libdevel
Source: mrmpi
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 48
Depends: libmrmpi1 (= 1.0~20140404-3build1)
Filename: pool/universe/m/mrmpi/libmrmpi-dev_1.0~20140404-3build1_amd64.deb
Size: 8996
MD5sum: 431424d59a42763426d67ce98d3136a7
SHA1: e36d49222a38361c0417e15d12ec0cb3f7394e68
SHA256: 1db1e99d4bf386c94db3eced3d271937038f7bd7d22083069cc5955eb29f60f9
SHA512: 2f79209ba87c1dcb8049083c2f3afc389dca35c49214ca2d177dd87738b79f99c46adf5eebae3b590d93610c9039ae41fe78fab05b9516491f6913bee0e6346a
Homepage: http://mapreduce.sandia.gov/
Description-en: Implements MapReduce operation on top of standard MPI message - development
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 development files needed to build MapReduce-MPI
applications.
Description-md5: bb79131e88b83173f39b39400f4edeef