How to Install and Uninstall nsight-systems-target Package on Kali Linux

Last updated: May 09,2024

1. Install "nsight-systems-target" package

Here is a brief guide to show you how to install nsight-systems-target on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                nsight-systems-target
            
                    
    
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2. Uninstall "nsight-systems-target" package

Please follow the instructions below to uninstall nsight-systems-target on Kali Linux:


    
        
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                sudo apt remove
            
                        
                nsight-systems-target
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the nsight-systems-target package on Kali Linux

Package: nsight-systems-target
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 2022.4.2.50~12.0.1-4
Installed-Size: 187075
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: python3:any, libcuda1 (>= 525) | libnvidia-tesla-cuda1 (>= 525) | libcuda.so.1 (>= 525) | libcuda-12.0-1, libc6 (>= 2.34), libcom-err2 (>= 1.43.9), libgcc-s1 (>= 4.2), libgssapi-krb5-2 (>= 1.6.dfsg.2), libibumad3 (>= 1.3.9), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.13~alpha1+dfsg), libstdc++6 (>= 4.8), libucx0 (>= 1.15.0), zlib1g (>= 1:1.1.4)
Breaks: nsight-systems (<< 10.2.89-3)
Size: 33926460
SHA256: cb9789ab5989a02c2258dcbb11b415f8fcfba4cf7776a29c7015d3c6c2c3f943
SHA1: 0e719782a7fb1053e84286f96b592f6bcf386a26
MD5sum: 7860920fbe39f290fb38ee643bcb71f1
Description: NVIDIA Nsight Systems (target specific libraries)
NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
visualize an application’s algorithms, help you identify the largest
opportunities to optimize, and tune to scale efficiently across any quantity
or size of CPUs and GPUs; from large server to smallest SoCs.
.
This package contains the target specific libraries.
Description-md5:
Multi-Arch: same
Homepage: https://developer.nvidia.com/nsight-systems
Section: non-free/devel
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/nsight-systems-target_2022.4.2.50~12.0.1-4_amd64.deb