How to Install and Uninstall libcombblas1.16.0 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 21,2024

1. Install "libcombblas1.16.0" package

This guide covers the steps necessary to install libcombblas1.16.0 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcombblas1.16.0
            
                    
    
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2. Uninstall "libcombblas1.16.0" package

Please follow the step by step instructions below to uninstall libcombblas1.16.0 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libcombblas1.16.0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcombblas1.16.0 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libcombblas1.16.0
Architecture: amd64
Version: 1.6.2-6
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: combblas
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 702
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.0.5), libstdc++6 (>= 5.2)
Filename: pool/universe/c/combblas/libcombblas1.16.0_1.6.2-6_amd64.deb
Size: 272940
MD5sum: b14951a07bc25f63045c2cb056a3f262
SHA1: b4836b21fef05cf6e179211ef81edd72b780e9ee
SHA256: c9fea2e8ccc9814b14fe1dabdcfdf1705d43f9aa1bc03e7ea07ad7485b7855ee
SHA512: 844a15f76ec35be5f9af6c3c992eb3debd8a3e53db52059ee2891049ba049e4aba00d0195f960fea25f38845451cea3bfccbf5320dc704c8076519e705bfdfbd
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Description-en: an extensible parallel graph library for graph analytics
The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory
parallel graph library offering a small but powerful set of linear
algebra primitives specifically targeting graph analytics.
.
- The Combinatorial BLAS development influences the Graph BLAS
standardization process.
- It achieves scalability via its two dimensional distribution and
coarse-grained parallelism.
- CombBLAS powers HipMCL, a highly-scalable parallel implementation of
the Markov Cluster Algorithm (MCL).
- Operations among sparse matrices and vectors use arbitrary user
defined semirings.
.
This package provides the combblas shared library.
Description-md5: 40b7560544e0c13716535d69a7bfc105