How to Install and Uninstall libcusparse11 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 22,2024

1. Install "libcusparse11" package

Please follow the step by step instructions below to install libcusparse11 on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libcusparse11

2. Uninstall "libcusparse11" package

In this section, we are going to explain the necessary steps to uninstall libcusparse11 on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove libcusparse11 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libcusparse11 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libcusparse11
Architecture: amd64
Version: 11.4.1.1152~11.2.2-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit (11.2.2-1ubuntu1)
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 224998
Depends: libc6 (>= 2.3.3), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.3)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcusparse11_11.4.1.1152~11.2.2-1ubuntu1_amd64.deb
Size: 100712236
MD5sum: 1f0fb4b161725fd36c865ad898372bb6
SHA1: 8dae1ec1e56fc3bb080a99a8be286041fe8b8bb2
SHA256: be944a8fa1e6f7508574e69541ffa248a6af5df26a9daeaebb934e215305ec2a
SHA512: cc41a7f053ad81f87875f6e22a92f21ecbe6a8cc776f5569e7bcbcc9c605dc28d342a4c5b05ad472258372efa6b11321aa0976c4af0174768a9c670cd75cd91e
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: 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: 12835bf1c971845122d660784efe714a