How to Install and Uninstall libthrust-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: April 29,2024

1. Install "libthrust-dev" package

Here is a brief guide to show you how to install libthrust-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libthrust-dev
            
                    
    
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2. Uninstall "libthrust-dev" package

This tutorial shows how to uninstall libthrust-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libthrust-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libthrust-dev package on Ubuntu 21.10 (Impish Indri)

Package: libthrust-dev
Architecture: all
Version: 1.11.0-1
Multi-Arch: foreign
Priority: extra
Section: multiverse/libdevel
Source: libthrust
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5342
Depends: libcub-dev (>= 1.11.0)
Suggests: nvidia-cuda-toolkit
Filename: pool/multiverse/libt/libthrust/libthrust-dev_1.11.0-1_all.deb
Size: 415468
MD5sum: 3514f727c4d76df7cf5c7157718b4b4a
SHA1: a5756ac0fafcad1d9618e419a65deba4f54a41e1
SHA256: fd5d91c4590adb2b7d8fabd7260eb1461402f204df92c1c53137d578708814ea
SHA512: 55628ba4c4273e478c7f3297506c89334ed91c2ce1e30841bbcd8347687fd5483c62807c36e6da0aa8121d8c355203f7cc398f8b0c5b98989ffa6e65059d0501
Homepage: https://github.com/NVIDIA/thrust
Description-en: Thrust - Parallel Algorithms Library
Thrust is a parallel algorithms library which resembles the C++ Standard
Template Library (STL). Thrust's high-level interface greatly enhances
programmer productivity while enabling performance portability between GPUs
and multicore CPUs. Interoperability with established technologies (such as
CUDA, TBB, and OpenMP) facilitates integration with existing software.
Description-md5: 5c04cf9edc908ae75dc0cc67ca840a33