How to Install and Uninstall libcublaslt11 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "libcublaslt11" package

In this section, we are going to explain the necessary steps to install libcublaslt11 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcublaslt11
            
                    
    
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2. Uninstall "libcublaslt11" package

Please follow the guidance below to uninstall libcublaslt11 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcublaslt11
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcublaslt11 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcublaslt11
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: 171923
Depends: libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.4.0)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcublaslt11_11.0.3-1ubuntu1_amd64.deb
Size: 78497788
MD5sum: 0963b82223a4a04bccf5a2e803809634
SHA1: 01a693b7f6f4f746eeb63607746791e4790a7be6
SHA256: 23b47a07c7be59164dffb0c895048ca31c4266041d6db850ae3cb4c7d4458984
SHA512: a96f8bd5a231ab61c1ded2a1e085bbaff6f82297ab560088404f9d9d3a954aad69ea280d091998eb44fbae261110dae2fe99864e3506fa387ff16adb0643a9e8
Homepage: https://developer.nvidia.com/cuda-zone
Description-en: NVIDIA cuBLASLt Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The cuBLASLt library is a lightweight GEMM library with a flexible API and
tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
multiplication.
.
This package contains the cuBLASLt runtime library.
Description-md5: 785c52463c947123d690fd61ff5b3adb