How to Install and Uninstall libstdgpu-cuda0d Package on Ubuntu 23.10 (Mantic Minotaur)
Last updated: November 24,2024
1. Install "libstdgpu-cuda0d" package
This guide covers the steps necessary to install libstdgpu-cuda0d on Ubuntu 23.10 (Mantic Minotaur)
$
sudo apt update
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$
sudo apt install
libstdgpu-cuda0d
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2. Uninstall "libstdgpu-cuda0d" package
This tutorial shows how to uninstall libstdgpu-cuda0d on Ubuntu 23.10 (Mantic Minotaur):
$
sudo apt remove
libstdgpu-cuda0d
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libstdgpu-cuda0d package on Ubuntu 23.10 (Mantic Minotaur)
Package: libstdgpu-cuda0d
Architecture: amd64
Version: 1.3.0+git20220507.32e0517-2
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: stdgpu-contrib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Timo Röhling
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 723
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Filename: pool/multiverse/s/stdgpu-contrib/libstdgpu-cuda0d_1.3.0+git20220507.32e0517-2_amd64.deb
Size: 174634
MD5sum: 1cdee8cbb425b00fa911b64a24649ce8
SHA1: 3d880be83f9968539ae06f8547a3a8a5f04697d2
SHA256: 70d6c627ba521e959dd9978d82a42844b42d7970fd77bff9d3baef88c15c4ef2
SHA512: de36d77730655116c959b55416acddd7b6fa7c30015a9a16431c5b5f80d96f05e2af70fdfd7ea34dd0abdc5f323b4c3ea9c63a64a8d9a4bd1ab0bc0a3e976c01
Homepage: https://github.com/stotko/stdgpu
Description: Efficient STL-like Data Structures on the GPU (CUDA backend)
Description-md5: 86f2a09d523e7b55fff456ecf5defbc3
Architecture: amd64
Version: 1.3.0+git20220507.32e0517-2
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: stdgpu-contrib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Timo Röhling
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 723
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Filename: pool/multiverse/s/stdgpu-contrib/libstdgpu-cuda0d_1.3.0+git20220507.32e0517-2_amd64.deb
Size: 174634
MD5sum: 1cdee8cbb425b00fa911b64a24649ce8
SHA1: 3d880be83f9968539ae06f8547a3a8a5f04697d2
SHA256: 70d6c627ba521e959dd9978d82a42844b42d7970fd77bff9d3baef88c15c4ef2
SHA512: de36d77730655116c959b55416acddd7b6fa7c30015a9a16431c5b5f80d96f05e2af70fdfd7ea34dd0abdc5f323b4c3ea9c63a64a8d9a4bd1ab0bc0a3e976c01
Homepage: https://github.com/stotko/stdgpu
Description: Efficient STL-like Data Structures on the GPU (CUDA backend)
Description-md5: 86f2a09d523e7b55fff456ecf5defbc3