How to Install and Uninstall nsight-systems Package on Kali Linux
Last updated: December 25,2024
1. Install "nsight-systems" package
This tutorial shows how to install nsight-systems on Kali Linux
$
sudo apt update
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$
sudo apt install
nsight-systems
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2. Uninstall "nsight-systems" package
Here is a brief guide to show you how to uninstall nsight-systems on Kali Linux:
$
sudo apt remove
nsight-systems
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the nsight-systems package on Kali Linux
Package: nsight-systems
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 2022.4.2.50~12.0.1-4
Installed-Size: 434994
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libjs-html5shiv, libjs-jquery, nsight-systems-target (= 2022.4.2.50~12.0.1-4), libssh-4, python3:any, libasound2 (>= 1.0.16), libc6 (>= 2.34), libdbus-1-3 (>= 1.9.14), libegl1, libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.8.1), libgcc-s1 (>= 4.2), libgl1, libglib2.0-0 (>= 2.26.0), libglx0, libgssapi-krb5-2 (>= 1.17), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libnspr4 (>= 2:4.9-2~), libnss3 (>= 2:3.22), libopengl0, libpfm4 (>= 4.9), libsm6, libstdc++6 (>= 10.2), libwayland-client0 (>= 1.11.0), libwayland-cursor0 (>= 1.8.1), libwayland-egl1 (>= 1.15.0), libx11-6, libx11-xcb1 (>= 2:1.8.7), libxcb-glx0, libxcb-icccm4 (>= 0.4.1), libxcb-image0 (>= 0.2.1), libxcb-keysyms1 (>= 0.4.0), libxcb-randr0 (>= 1.12), libxcb-render-util0, libxcb-render0, libxcb-shape0, libxcb-shm0 (>= 1.10), libxcb-sync1, libxcb-xfixes0, libxcb-xkb1, libxcb1 (>= 1.9.2), libxcomposite1 (>= 1:0.4.5), libxdamage1 (>= 1:1.1), libxext6, libxfixes3, libxkbcommon-x11-0 (>= 0.5.0), libxkbcommon0 (>= 0.5.0), libxkbfile1 (>= 1:1.1.0), libxrandr2, libxrender1, libxshmfence1, libxtst6, zlib1g (>= 1:1.1.4)
Recommends: nvidia-profiler (= 12.0.146~12.0.1-4)
Size: 137763840
SHA256: aea2930f02b6cf1b26b1c9f70e2afdcc8fae55b6dd0d3636a892470cdcf0b29c
SHA1: 63abb13ca61f7430e9be04059a4670e04ce3eac2
MD5sum: f60efcbdbbbf1e3c09bbdf5715741723
Description: NVIDIA Nsight Systems
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.
Description-md5:
Homepage: https://developer.nvidia.com/nsight-systems
Section: non-free/devel
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/nsight-systems_2022.4.2.50~12.0.1-4_amd64.deb
Source: nvidia-cuda-toolkit (12.0.1-4)
Version: 2022.4.2.50~12.0.1-4
Installed-Size: 434994
Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Depends: libjs-html5shiv, libjs-jquery, nsight-systems-target (= 2022.4.2.50~12.0.1-4), libssh-4, python3:any, libasound2 (>= 1.0.16), libc6 (>= 2.34), libdbus-1-3 (>= 1.9.14), libegl1, libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.8.1), libgcc-s1 (>= 4.2), libgl1, libglib2.0-0 (>= 2.26.0), libglx0, libgssapi-krb5-2 (>= 1.17), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libnspr4 (>= 2:4.9-2~), libnss3 (>= 2:3.22), libopengl0, libpfm4 (>= 4.9), libsm6, libstdc++6 (>= 10.2), libwayland-client0 (>= 1.11.0), libwayland-cursor0 (>= 1.8.1), libwayland-egl1 (>= 1.15.0), libx11-6, libx11-xcb1 (>= 2:1.8.7), libxcb-glx0, libxcb-icccm4 (>= 0.4.1), libxcb-image0 (>= 0.2.1), libxcb-keysyms1 (>= 0.4.0), libxcb-randr0 (>= 1.12), libxcb-render-util0, libxcb-render0, libxcb-shape0, libxcb-shm0 (>= 1.10), libxcb-sync1, libxcb-xfixes0, libxcb-xkb1, libxcb1 (>= 1.9.2), libxcomposite1 (>= 1:0.4.5), libxdamage1 (>= 1:1.1), libxext6, libxfixes3, libxkbcommon-x11-0 (>= 0.5.0), libxkbcommon0 (>= 0.5.0), libxkbfile1 (>= 1:1.1.0), libxrandr2, libxrender1, libxshmfence1, libxtst6, zlib1g (>= 1:1.1.4)
Recommends: nvidia-profiler (= 12.0.146~12.0.1-4)
Size: 137763840
SHA256: aea2930f02b6cf1b26b1c9f70e2afdcc8fae55b6dd0d3636a892470cdcf0b29c
SHA1: 63abb13ca61f7430e9be04059a4670e04ce3eac2
MD5sum: f60efcbdbbbf1e3c09bbdf5715741723
Description: NVIDIA Nsight Systems
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.
Description-md5:
Homepage: https://developer.nvidia.com/nsight-systems
Section: non-free/devel
Priority: optional
Filename: pool/non-free/n/nvidia-cuda-toolkit/nsight-systems_2022.4.2.50~12.0.1-4_amd64.deb