How to Install and Uninstall libspfft0 Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 27,2024

1. Install "libspfft0" package

Please follow the steps below to install libspfft0 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libspfft0
            
                    
    
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2. Uninstall "libspfft0" package

In this section, we are going to explain the necessary steps to uninstall libspfft0 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libspfft0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libspfft0 package on Ubuntu 21.10 (Impish Indri)

Package: libspfft0
Architecture: amd64
Version: 0.9.13-1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: spfft
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 295
Depends: libc6 (>= 2.29), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libopenmpi3 (>= 4.0.3), libstdc++6 (>= 5.2)
Filename: pool/universe/s/spfft/libspfft0_0.9.13-1_amd64.deb
Size: 82224
MD5sum: da70ff48586712837c5d8fc8e458ddc3
SHA1: 5f0ec6f88908c2761be668541d4052c0c50f8038
SHA256: add714c333576d1c6e55b912ef841e9f3a1b864b0e902a519910404b03fa7eff
SHA512: b251db01b295afc1c8cbd9e2f288c1cbd11a96c912d0e355aa19573124e9f5691a4a10b2fd028eb8c64bfab0a8a05e12ef52d8def488be3e255bf5ff255fc75a
Homepage: https://github.com/eth-cscs/SpFFT
Description-en: Sparse 3D FFT library with MPI, OpenMP, CUDA / ROCm support
SpFFT was originally intended for transforms of data with spherical cutoff in
frequency domain, as required by some computational material science codes.
For distributed computations, SpFFT uses a slab decomposition in space domain
and pencil decomposition in frequency domain (all sparse data within a pencil
must be on one rank). If desired, the library can be compiled without any
parallelization (MPI, OpenMP, CUDA / ROCm).
Description-md5: d2f230f8888c53f250c6b0b4eb65628d