How to Install and Uninstall libmrmpi-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 23,2024

1. Install "libmrmpi-dev" package

Please follow the steps below to install libmrmpi-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libmrmpi-dev
            
                    
    
    Copied

2. Uninstall "libmrmpi-dev" package

Please follow the instructions below to uninstall libmrmpi-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libmrmpi-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libmrmpi-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libmrmpi-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 48
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Architecture: amd64
Source: mrmpi
Version: 1.0~20140404-1build2
Depends: libmrmpi1 (= 1.0~20140404-1build2)
Filename: pool/universe/m/mrmpi/libmrmpi-dev_1.0~20140404-1build2_amd64.deb
Size: 8924
MD5sum: 703998de6fd2b6ae3bfa374d547145b6
SHA1: 31fcda0ffc12adaabafc9abc7ceb719475a2b32a
SHA256: d76401aa9313de88caefb979347bb33e121f691ead7ecb80805267af5914cd8c
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 langauges
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: 48044269001962739d1b5c3b47ad2460
Homepage: http://mapreduce.sandia.gov/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu