How to Install and Uninstall libcusparse12 Package on Kali Linux

Last updated: November 26,2024

1. Install "libcusparse12" package

This tutorial shows how to install libcusparse12 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcusparse12
            
                    
    
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2. Uninstall "libcusparse12" package

Please follow the instructions below to uninstall libcusparse12 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libcusparse12
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcusparse12 package on Kali Linux

Package: libcusparse12
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 12.0.1.140~12.0.1-4
Installed-Size: 249389
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 4.2), libnvjitlink12 (= 12.0.140~12.0.1-4)
Size: 105172852
SHA256: 67d29b46d9fc8c40611c684a1e48fe900f6c2526c445cbb387b51e82a7a2e8be
SHA1: 14bbe3af23ae0a6d5f4cdd69cff6a866c581c417
MD5sum: 624a328cd575e80f490bebdae8635a67
Description: 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:
Multi-Arch: same
Homepage: https://developer.nvidia.com/cuda-zone
Section: non-free/libs
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/libcusparse12_12.0.1.140~12.0.1-4_amd64.deb