How to Install and Uninstall starpu-contrib-tools Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "starpu-contrib-tools" package

In this section, we are going to explain the necessary steps to install starpu-contrib-tools on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                starpu-contrib-tools
            
                    
    
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2. Uninstall "starpu-contrib-tools" package

Please follow the guidance below to uninstall starpu-contrib-tools on Ubuntu 21.10 (Impish Indri):


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

Package: starpu-contrib-tools
Architecture: amd64
Version: 1.3.7+dfsg-3
Priority: extra
Section: multiverse/utils
Source: starpu-contrib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Samuel Thibault
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 295
Provides: starpu-any-tools
Depends: libc6 (>= 2.33), libstarpu-contrib-1.3-5 (>= 1.3.7+dfsg)
Recommends: python3
Conflicts: starpu-tools
Filename: pool/multiverse/s/starpu-contrib/starpu-contrib-tools_1.3.7+dfsg-3_amd64.deb
Size: 54280
MD5sum: 322e05e3a857bd681ce7ca41771c2f9f
SHA1: 33439e6e3221cc167668726e79fc4ec3ef89106a
SHA256: 925cdca3f3f91d140e389e1c7cb42a557ebf32ae7820968b4afbc895d1a432f7
SHA512: ba72f8eeb27af2918797ee2f1b07dd696aae3422cf6211ea01005ec4298cab03807448f4e80eebdcb548ef7a486148caa33000fce006ac3ef240df51c53aaeec
Homepage: http://starpu.gforge.inria.fr/
Description-en: Task scheduler for heterogeneous multicore machines - tools
StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design efficient
computation kernels for those architectures (e.g. to implement BLAS
kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.
.
This package contains StarPU tools.
This "contrib" version is built against CUDA.
Description-md5: 21e204c0915cd3972a9cf41ad059d147