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

Last updated: May 15,2024

1. Install "libcombblas-dev" package

This guide covers the steps necessary to install libcombblas-dev on Ubuntu 21.10 (Impish Indri)


    
        
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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

This guide covers the steps necessary to uninstall libcombblas-dev on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: libcombblas-dev
Architecture: amd64
Version: 1.6.2-6
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: 1779
Depends: libcombblas1.16.0 (= 1.6.2-6)
Suggests: libcombblas-docs
Filename: pool/universe/c/combblas/libcombblas-dev_1.6.2-6_amd64.deb
Size: 245880
MD5sum: 8fc28e2abd4ebe12ef953ab2f246bf78
SHA1: 3e1afddfcc197e3ce1477e623f99efd4dd3391ce
SHA256: 7c4f5462ca1c50e3557eb5202c1135f808f60004b09396c7a0104b7b0ac805fd
SHA512: 279efe503d0b16afc838bd9382209ae0b7b5d7cee9438ae3f7baf2568c96fd9304b6e0dba93ec8cb651d7fd47575895682903b16c5cb1aa0f820ce9b83dd585b
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