How to Install and Uninstall libadios-openmpi-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 29,2024

1. Install "libadios-openmpi-dev" package

In this section, we are going to explain the necessary steps to install libadios-openmpi-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libadios-openmpi-dev
            
                    
    
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2. Uninstall "libadios-openmpi-dev" package

This guide let you learn how to uninstall libadios-openmpi-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libadios-openmpi-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libadios-openmpi-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libadios-openmpi-dev
Architecture: amd64
Version: 1.13.1-25
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: adios
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Alastair McKinstry
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 8600
Depends: libadios-dev
Recommends: libadios-bin, libadios-examples
Filename: pool/universe/a/adios/libadios-openmpi-dev_1.13.1-25_amd64.deb
Size: 374340
MD5sum: 8df67fa8177016c023d7b7aa5cf63529
SHA1: 1d7fb29b0582718f4024aea144a4c0e14993603e
SHA256: 974eff863f87ac46a884eb13396a938e242a5e40b104b58262446996b9299142
SHA512: 9f181c60958596750237e8cb665b901fdf31785ea4f2c99a821f681db6acd37d88321134556816f07d5ea6eec828c6f2403acfc56cac7d1431b26d696b41a36a
Homepage: https://www.olcf.ornl.gov/center-projects/adios/
Description-en: ADIOS Adaptable IO system (OpenMPI development files)
The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists
to describe the data in their code that may need to be written, read,
or processed outside of the running simulation. By providing an external
to the code XML file describing the various elements, their types, and
how you wish to process them this run, the routines in the host code
(either Fortran or C) can transparently change how they process the data.
Description-md5: 2a2851d651770a9aa87be5d04ebfd4d0