How to Install and Uninstall python3-pyviennacl Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: December 23,2024
1. Install "python3-pyviennacl" package
Please follow the guidelines below to install python3-pyviennacl on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python3-pyviennacl
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2. Uninstall "python3-pyviennacl" package
Please follow the steps below to uninstall python3-pyviennacl on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python3-pyviennacl
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-pyviennacl package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python3-pyviennacl
Priority: optional
Section: universe/python
Installed-Size: 8625
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: pyviennacl
Version: 1.0.2+dfsg-1build3
Depends: libboost-python1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3-scipy
Suggests: pyviennacl-doc
Filename: pool/universe/p/pyviennacl/python3-pyviennacl_1.0.2+dfsg-1build3_amd64.deb
Size: 1084042
MD5sum: 0f113b32653154589872fc27b9c712e2
SHA1: 8802f380e8c99b36cefff29bb7f2df7ae956e224
SHA256: ac5407eb26e624953497ed0209e7b4a829a2bc3ea9a7387aae9b649ab1a7a3cb
Description-en: Python bindings for ViennaCL linear algebra library (for Python 3)
The Vienna Computing Library (ViennaCL) is a free open-source
scientific computing library written in C++ and provides CUDA, OpenCL
and OpenMP computing backends. It enables simple, high-level access
to the vast computing resources available on parallel architectures
such as GPUs and is primarily focused on common linear algebra
operations (BLAS levels 1, 2 and 3) and the solution of large systems
of equations by means of iterative methods with optional
preconditioners.
.
This package provides the Python 3 bindings for ViennaCL, PyViennaCL,
letting you harness the computational power of ViennaCL in the
context of the Python scientific ecosystem.
Description-md5: 25d4394633f91e4c9601d5036bcc3631
Homepage: http://viennacl.sourceforge.net/pyviennacl.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/python
Installed-Size: 8625
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: pyviennacl
Version: 1.0.2+dfsg-1build3
Depends: libboost-python1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3-scipy
Suggests: pyviennacl-doc
Filename: pool/universe/p/pyviennacl/python3-pyviennacl_1.0.2+dfsg-1build3_amd64.deb
Size: 1084042
MD5sum: 0f113b32653154589872fc27b9c712e2
SHA1: 8802f380e8c99b36cefff29bb7f2df7ae956e224
SHA256: ac5407eb26e624953497ed0209e7b4a829a2bc3ea9a7387aae9b649ab1a7a3cb
Description-en: Python bindings for ViennaCL linear algebra library (for Python 3)
The Vienna Computing Library (ViennaCL) is a free open-source
scientific computing library written in C++ and provides CUDA, OpenCL
and OpenMP computing backends. It enables simple, high-level access
to the vast computing resources available on parallel architectures
such as GPUs and is primarily focused on common linear algebra
operations (BLAS levels 1, 2 and 3) and the solution of large systems
of equations by means of iterative methods with optional
preconditioners.
.
This package provides the Python 3 bindings for ViennaCL, PyViennaCL,
letting you harness the computational power of ViennaCL in the
context of the Python scientific ecosystem.
Description-md5: 25d4394633f91e4c9601d5036bcc3631
Homepage: http://viennacl.sourceforge.net/pyviennacl.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu