How to Install and Uninstall libstarpu-contribfft-1.4-1 Package on Kali Linux

Last updated: July 05,2024

1. Install "libstarpu-contribfft-1.4-1" package

Please follow the guidance below to install libstarpu-contribfft-1.4-1 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libstarpu-contribfft-1.4-1
            
                    
    
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2. Uninstall "libstarpu-contribfft-1.4-1" package

In this section, we are going to explain the necessary steps to uninstall libstarpu-contribfft-1.4-1 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libstarpu-contribfft-1.4-1
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libstarpu-contribfft-1.4-1 package on Kali Linux

Package: libstarpu-contribfft-1.4-1
Source: starpu-contrib
Version: 1.4.3+dfsg-2
Installed-Size: 124
Maintainer: Samuel Thibault
Architecture: amd64
Provides: libstarpu-anyfft-1.4-1
Depends: libc6 (>= 2.4), libcudart12, libcufft11, libfftw3-double3 (>= 3.3.10), libfftw3-single3 (>= 3.3.10), libstarpu-contrib-1.4-4 (>= 1.4.3+dfsg)
Conflicts: libstarpufft-1.4-1
Size: 47948
SHA256: cf66e91eb6a9986616d7bb4b72116744b300ad2b8683b803c0874b7fd0927917
SHA1: 7cb0ec90d7098ad365178dc1c724f857bf326f42
MD5sum: aff500fba43363d910a8f14cde6b9cd2
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 a hybrid CPU+GPU FFT library.
This "contrib" version is built against CUDA.
Description-md5:
Multi-Arch: same
Homepage: https://starpu.gitlabpages.inria.fr/
Section: contrib/libs
Priority: optional
Filename: pool/contrib/s/starpu-contrib/libstarpu-contribfft-1.4-1_1.4.3+dfsg-2_amd64.deb