How to Install and Uninstall libcufftw7.5 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 17,2024

1. Install "libcufftw7.5" package

This guide let you learn how to install libcufftw7.5 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcufftw7.5
            
                    
    
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2. Uninstall "libcufftw7.5" package

This guide let you learn how to uninstall libcufftw7.5 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libcufftw7.5
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcufftw7.5 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libcufftw7.5
Priority: extra
Section: multiverse/libs
Installed-Size: 560
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Architecture: amd64
Source: nvidia-cuda-toolkit
Version: 7.5.18-0ubuntu1
Depends: libc6 (>= 2.3.3), libcufft7.5 (>= 6.0), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcufftw7.5_7.5.18-0ubuntu1_amd64.deb
Size: 118904
MD5sum: 4b3571dd4e85328153a3b1591dc5befb
SHA1: a1683cdfdc7d40080883fe8f895b35bb1baa89c1
SHA256: 20acacb1d11e60f4b48f251b5589a21aca9be76875ef00fa78e081b95d08b4f7
Description-en: NVIDIA cuFFTW Library
The Compute Unified Device Architecture (CUDA) enables NVIDIA
graphics processing units (GPUs) to be used for massively parallel
general purpose computation.
.
The FFT is a divide-and-conquer algorithm for efficiently computing discrete
Fourier transforms of complex or real-valued data sets. It is one of the most
important and widely used numerical algorithms in computational physics and
general signal processing. The cuFFT library provides a simple interface for
computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
floating-point power and parallelism of the GPU in a highly optimized and
tested FFT library.
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This package contains the cuFFTW runtime library.
Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa
Multi-Arch: same
Homepage: http://www.nvidia.com/CUDA
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu