How to Install and Uninstall libstarpu-contrib-1.3-8 Package on Kali Linux

Last updated: November 24,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libstarpu-contrib-1.3-8" package

This is a short guide on how to install libstarpu-contrib-1.3-8 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libstarpu-contrib-1.3-8
            
                    
    
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2. Uninstall "libstarpu-contrib-1.3-8" package

Please follow the steps below to uninstall libstarpu-contrib-1.3-8 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libstarpu-contrib-1.3-8
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libstarpu-contrib-1.3-8 package on Kali Linux

Package: libstarpu-contrib-1.3-8
Source: starpu-contrib
Version: 1.3.9+dfsg-1
Installed-Size: 1495
Maintainer: Samuel Thibault
Architecture: amd64
Provides: libstarpu-any-1.3-8
Depends: libc6 (>= 2.29), libcublas11, libcudart11.0, libcusparse11, libgcc-s1 (>= 3.4), libglpk40 (>= 4.59), libhwloc15 (>= 2.5.0+dfsg), libnvidia-ml1 (>= 384) | libnvidia-ml.so.1 (>= 384), ocl-icd-libopencl1 | libopencl1
Conflicts: libstarpu-1.3-8
Size: 497048
SHA256: 8976267c3313c6687c411b4fe68c339dd7c1af4491199a62c6ce7458db875f97
SHA1: 1436cba2475cb5c8e638c9418ec9e2ef0d87b309
MD5sum: 404a31a49cc95e07058850ab66c461a9
Description: Task scheduler for heterogeneous multicore machines
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 the main StarPU library
This "contrib" version is built against CUDA.
Description-md5: f0ca811d02d6bbb6c830781bf9811bff
Multi-Arch: same
Homepage: https://starpu.gitlabpages.inria.fr/
Section: contrib/libs
Priority: optional
Filename: pool/contrib/s/starpu-contrib/libstarpu-contrib-1.3-8_1.3.9+dfsg-1_amd64.deb