How to Install and Uninstall libcombblas-docs Package on Kali Linux

Last updated: December 27,2024

1. Install "libcombblas-docs" package

Please follow the step by step instructions below to install libcombblas-docs on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libcombblas-docs
            
                    
    
    Copied

2. Uninstall "libcombblas-docs" package

Please follow the step by step instructions below to uninstall libcombblas-docs on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libcombblas-docs
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libcombblas-docs package on Kali Linux

Package: libcombblas-docs
Source: combblas
Version: 2.0.0-3
Installed-Size: 237924
Maintainer: Debian Science Maintainers
Architecture: all
Recommends: libcombblas-dev
Size: 171825228
SHA256: d4a556ecae9321eee26699781c5b93c1dd9071c45bc9b5c39a92ec9fc0030eff
SHA1: 95a53f8e6a61e054ba8e6678aeeaa6bc0fb55ed3
MD5sum: 9d1854d7ac920f63b565fac4613b6892
Description: 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:
Multi-Arch: foreign
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/c/combblas/libcombblas-docs_2.0.0-3_all.deb