How to Install and Uninstall gtengine.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: February 28,2025
1. Install "gtengine.x86_64" package
Please follow the guidance below to install gtengine.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
gtengine.x86_64
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2. Uninstall "gtengine.x86_64" package
This tutorial shows how to uninstall gtengine.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
gtengine.x86_64
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$
sudo dnf autoremove
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3. Information about the gtengine.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 0:38:37 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : gtengine
Epoch : 1
Version : 6.6
Release : 1.el8
Architecture : x86_64
Size : 602 k
Source : gtengine-6.6-1.el8.src.rpm
Repository : epel
Summary : Library for computations in mathematics, graphics, image analysis, and physics
URL : http://www.geometrictools.com
License : Boost
Description : A library of source code for computing in the fields of mathematics,
: graphics, image analysis, and physics.
: The engine is written in C++ 11 and, as such, has portable access
: to standard constructs for multithreading programming on cores.
: The engine also supports high-performance computing using general
: purpose GPU programming (GPGPU).
: SIMD code is also available using Intel Streaming SIMD Extensions (SSE).
:
: GTEngine requires OpenGL 4.5.0 (or later).
Available Packages
Name : gtengine
Epoch : 1
Version : 6.6
Release : 1.el8
Architecture : x86_64
Size : 602 k
Source : gtengine-6.6-1.el8.src.rpm
Repository : epel
Summary : Library for computations in mathematics, graphics, image analysis, and physics
URL : http://www.geometrictools.com
License : Boost
Description : A library of source code for computing in the fields of mathematics,
: graphics, image analysis, and physics.
: The engine is written in C++ 11 and, as such, has portable access
: to standard constructs for multithreading programming on cores.
: The engine also supports high-performance computing using general
: purpose GPU programming (GPGPU).
: SIMD code is also available using Intel Streaming SIMD Extensions (SSE).
:
: GTEngine requires OpenGL 4.5.0 (or later).