How to Install and Uninstall libcufftw10 Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 07,2024
1. Install "libcufftw10" package
This guide let you learn how to install libcufftw10 on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
libcufftw10
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2. Uninstall "libcufftw10" package
In this section, we are going to explain the necessary steps to uninstall libcufftw10 on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
libcufftw10
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libcufftw10 package on Ubuntu 20.10 (Groovy Gorilla)
Package: libcufftw10
Architecture: amd64
Version: 11.0.3-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 609
Depends: libc6 (>= 2.3.3), libcufft10, libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcufftw10_11.0.3-1ubuntu1_amd64.deb
Size: 139068
MD5sum: 4d52870a29a58701ac9c0d4a4ebb74a7
SHA1: 9cb5fb4c57acd332ce9cc842eb1bfde7577ec646
SHA256: f5d0d3e2fbd490472681e1e3510ca612fa73140e97192d2b8d5aab6a52e4cc67
SHA512: cc0995240152a201eedb4470a4db57211192b00700fc695e0332b8c0850dec424c3cb0ba5fd006917f6fe4d61815a26a117a8f86645ab7217e110c1faa6a5b5f
Homepage: https://developer.nvidia.com/cuda-zone
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.
.
This package contains the cuFFTW runtime library.
Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa
Architecture: amd64
Version: 11.0.3-1ubuntu1
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: nvidia-cuda-toolkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian NVIDIA Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 609
Depends: libc6 (>= 2.3.3), libcufft10, libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1)
Filename: pool/multiverse/n/nvidia-cuda-toolkit/libcufftw10_11.0.3-1ubuntu1_amd64.deb
Size: 139068
MD5sum: 4d52870a29a58701ac9c0d4a4ebb74a7
SHA1: 9cb5fb4c57acd332ce9cc842eb1bfde7577ec646
SHA256: f5d0d3e2fbd490472681e1e3510ca612fa73140e97192d2b8d5aab6a52e4cc67
SHA512: cc0995240152a201eedb4470a4db57211192b00700fc695e0332b8c0850dec424c3cb0ba5fd006917f6fe4d61815a26a117a8f86645ab7217e110c1faa6a5b5f
Homepage: https://developer.nvidia.com/cuda-zone
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.
.
This package contains the cuFFTW runtime library.
Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa