How to Install and Uninstall libaccinj64-11.4 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
Notice
You can also install and uninstall the libaccinj64-11.4 on the following distributions in the same way, as they are all based on the Ubuntu system
- Kubuntu 22.04 LTS
- Lubuntu 22.04 LTS
- Xubuntu 22.04 LTS
- Ubuntu MATE 22.04 LTS
- Ubuntu Studio 22.04 LTS
- Pop!_OS 22.04 LTS
- Zorin OS 16 / Zorin OS 17
- Ubuntu Budgie 22.04
1. Install "libaccinj64-11.4" package
In this section, we are going to explain the necessary steps to install libaccinj64-11.4 on Ubuntu 22.04 LTS (Jammy Jellyfish)
$
sudo apt update
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$
sudo apt install
libaccinj64-11.4
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2. Uninstall "libaccinj64-11.4" package
Please follow the step by step instructions below to uninstall libaccinj64-11.4 on Ubuntu 22.04 LTS (Jammy Jellyfish):
$
sudo apt remove
libaccinj64-11.4
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libaccinj64-11.4 package on Ubuntu 22.04 LTS (Jammy Jellyfish)
Package: libaccinj64-11.4
Architecture: amd64
Version: 11.4.120~11.4.3-1build1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit (11.4.3-1build1)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2157
Depends: libc6 (>= 2.14), libcupti11.4 (= 11.4.120~11.4.3-1build1), libgcc-s1 (>= 4.2)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libaccinj64-11.4_11.4.120~11.4.3-1build1_amd64.deb
Size: 844174
MD5sum: c526a1172e0fe29c994f40b8c5009c8c
SHA1: 990dc0364aeb81ed507cb9c5f88ae16f7312edb9
SHA256: e98850b499004d10ba06743ae6a4b4bcab8f0302fd0ecb539db1b03304e52965
SHA512: 3686d31384c49d5e8da548322e221e2e820c103bfdb2d796c164a0e27a3f831de5fc24e355fa36379cbe8b63d1ba0eb7c2a669ff2df1563e2b98c83ed8489cdd
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA ACCINJ Library (64-bit)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
ACCINJ is the OpenACC internal library for profiling.
.
This package contains the 64-bit ACCINJ runtime library.
Description-md5: 404daeb74b9a29243e00b395f84c5ada
Architecture: amd64
Version: 11.4.120~11.4.3-1build1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit (11.4.3-1build1)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2157
Depends: libc6 (>= 2.14), libcupti11.4 (= 11.4.120~11.4.3-1build1), libgcc-s1 (>= 4.2)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libaccinj64-11.4_11.4.120~11.4.3-1build1_amd64.deb
Size: 844174
MD5sum: c526a1172e0fe29c994f40b8c5009c8c
SHA1: 990dc0364aeb81ed507cb9c5f88ae16f7312edb9
SHA256: e98850b499004d10ba06743ae6a4b4bcab8f0302fd0ecb539db1b03304e52965
SHA512: 3686d31384c49d5e8da548322e221e2e820c103bfdb2d796c164a0e27a3f831de5fc24e355fa36379cbe8b63d1ba0eb7c2a669ff2df1563e2b98c83ed8489cdd
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA ACCINJ Library (64-bit)
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
ACCINJ is the OpenACC internal library for profiling.
.
This package contains the 64-bit ACCINJ runtime library.
Description-md5: 404daeb74b9a29243e00b395f84c5ada