How to Install and Uninstall libcusparse11 Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "libcusparse11" package

Please follow the steps below to install libcusparse11 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcusparse11
            
                    
    
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2. Uninstall "libcusparse11" package

Please follow the guidance below to uninstall libcusparse11 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libcusparse11
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcusparse11 package on Ubuntu 21.10 (Impish Indri)

Package: libcusparse11
Architecture: amd64
Version: 11.6.0.109~11.3.1-4
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit (11.3.1-4)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 230387
Depends: libc6 (>= 2.4), libgcc-s1 (>= 4.2)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcusparse11_11.6.0.109~11.3.1-4_amd64.deb
Size: 109078424
MD5sum: 963cb242b55706153b5c685e4da5b20b
SHA1: f70c8e8fde2acccb1510e2987b9a4b6b0c142433
SHA256: 85a8defc37fce9bf0dd39c43f098921b340b9cc95f3732f4d6d40e6849229c59
SHA512: 238961657830193af9fc07d94931675948caa97e8bf09169b88ec5fa548b40a5aeb8360d56c65bdb7867d345a8b53d5b3eff065b6543ff73881f0495367ca192
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA cuSPARSE Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuSPARSE library contains a set of basic linear algebra subroutines used
for handling sparse matrices. It is implemented on top of the NVIDIA CUDA
runtime and is designed to be called from C and C++. The library routines can
be classified into four categories:
* Level 1: operations between a vector in sparse format and a vector in dense
format
* Level 2: operations between a matrix in sparse format and a vector in dense
format
* Level 3: operations between a matrix in sparse format and a set of vectors
in dense format
* Conversion: operations that allow conversion between different matrix
formats
.
This package contains the cuSPARSE runtime library.
Description-md5: 12835bf1c971845122d660784efe714a