How to Install and Uninstall libcublas11 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: April 27,2024

1. Install "libcublas11" package

Here is a brief guide to show you how to install libcublas11 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcublas11
            
                    
    
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2. Uninstall "libcublas11" package

This guide covers the steps necessary to uninstall libcublas11 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcublas11
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcublas11 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcublas11
Architecture: amd64
Version: 11.0.3-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 94628
Depends: libc6 (>= 2.3.3), libcublaslt11, libgcc-s1 (>= 3.0), libstdc++6 (>= 4.4.0)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcublas11_11.0.3-1ubuntu1_amd64.deb
Size: 43296532
MD5sum: b4ce2c852fb6c544e779d7b7803d4a4a
SHA1: 4f0e820f278f96a438ab1470a44b72bffe062762
SHA256: d4af1d13001e5d3c6795e46f00348334d8cb6cc4a6c86612878933dfbad87972
SHA512: 63fbaebd34a7ded074a2f44d4461a6d9b177b5a4efae126104780396fc5f21076af3124ae4876d65cdeb6e3efc226d936fb43a6e2459c96c225f2b4a646b40aa
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA cuBLAS Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLAS library is an implementation of BLAS (Basic Linear Algebra
Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access
the computational resources of NVIDIA Graphics Processing Unit (GPU), but
does not auto-parallelize across multiple GPUs.
.
This package contains the cuBLAS runtime library.
Description-md5: 5d0c77d8f2c8429e53892a3a70d407c4