How to Install and Uninstall libcusparse11 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "libcusparse11" package

Please follow the steps below to install libcusparse11 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: libcusparse11
Architecture: amd64
Version: 11.0.3-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 157055
Depends: libc6 (>= 2.3.3), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcusparse11_11.0.3-1ubuntu1_amd64.deb
Size: 71732480
MD5sum: 67c95394d22619cdb11ee638fc1611de
SHA1: 5d40dd310758417bc565825566aae24bef986b8f
SHA256: 715b2ddf871747663dfaaf5217aa1fc64117463921f72ae7ed9cb68a21547ac3
SHA512: b3a43eb08633a3bf817b4d7b0ae439aa3613d43e407ef4501851eb829b35771757c24a5b9098eefd590e4037767a1a874d250f426bdc6546a6057bb6a0a9a418
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