How to Install and Uninstall libcombblas-docs Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 27,2024

1. Install "libcombblas-docs" package

Please follow the guidance below to install libcombblas-docs on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcombblas-docs
            
                    
    
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2. Uninstall "libcombblas-docs" package

This tutorial shows how to uninstall libcombblas-docs on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libcombblas-docs
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcombblas-docs package on Ubuntu 21.10 (Impish Indri)

Package: libcombblas-docs
Architecture: all
Version: 1.6.2-6
Multi-Arch: foreign
Priority: optional
Section: universe/libdevel
Source: combblas
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 268495
Recommends: libcombblas-dev
Filename: pool/universe/c/combblas/libcombblas-docs_1.6.2-6_all.deb
Size: 141762948
MD5sum: 3ecbf763ec6968a32159323a74c47014
SHA1: c8cdaacb1caeefd6a5d4c3d75e53f6759aa0669b
SHA256: a52874e0ad1d524cd79d16ad4a3c91d3bd0088de9f56beee942323652b78234a
SHA512: 52af2104ca4acbf48ff48ed9d9e11b70d1b3a4be6c9b0ad622d524743fd9c947044b578f4ae1bbcebed5cd94a29057217e42e265a1722265bd5a16e957e1c9be
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Description-en: an extensible parallel graph library for graph analytics (docs)
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 full HTML documentation for the CombBLAS API.
Description-md5: 10fdb310beb6f4139d1cf4aeab6ac436