How to Install and Uninstall starpu-contrib-tools Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: April 28,2024

1. Install "starpu-contrib-tools" package

Please follow the guidance below to install starpu-contrib-tools on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: starpu-contrib-tools
Architecture: amd64
Version: 1.3.4+dfsg-3build2
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: 252
Provides: starpu-any-tools
Depends: libc6 (>= 2.7), libstarpu-contrib-1.3-3
Recommends: python3
Conflicts: starpu-tools
Filename: pool/multiverse/s/starpu-contrib/starpu-contrib-tools_1.3.4+dfsg-3build2_amd64.deb
Size: 47456
MD5sum: 704405666e9a97905a02d4f876d60b94
SHA1: 6cdd35bbe173038dbc833fb2150104a5a47582e2
SHA256: 78aed691858469532afd4f11273478316fa80e1f25497ec8807b7bb9d506f673
SHA512: 2599f9e71d2d03174dbb64df80f134f4bbb98655e6ea08ca998baaf3515787c23f29e0c263fe2691c6236c8ba37f594b637022456635e8dfe880353d23a26832
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