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

Last updated: October 06,2024

1. Install "libcombblas-dev" package

Please follow the guidelines below to install libcombblas-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libcombblas-dev
            
                    
    
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2. Uninstall "libcombblas-dev" package

Please follow the guidelines below to uninstall libcombblas-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcombblas-dev
            
                    
    
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            $
        

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

Package: libcombblas-dev
Architecture: amd64
Version: 1.6.2-5build1
Multi-Arch: same
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: 1679
Depends: libcombblas1.16.0 (= 1.6.2-5build1)
Suggests: libcombblas-docs
Filename: pool/universe/c/combblas/libcombblas-dev_1.6.2-5build1_amd64.deb
Size: 243844
MD5sum: 6ea5a774e66d7c281712991f9530a305
SHA1: 358d1a06ef428fcc4dde6f4e5c2f6387f2e1bbdb
SHA256: 684f377c9d83f940364de5ad270605d61fea9fc1dd08c24b7bd16a8cc9e5f9be
SHA512: 2c7505807474d67b3dfbeb59282389e99d203fcc97dbfe2139aa1dab0fd174274b23176d10d71e3d32a25c3810ac029ccd2e301a362f5340f08cf6136eec2e93
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 development files for building client
applications against combblas.
Description-md5: 01092df4e8f248432b56947ace54f260