How to Install and Uninstall arbor-doc.x86_64 Package on Fedora 38
Last updated: November 14,2024
1. Install "arbor-doc.x86_64" package
This guide covers the steps necessary to install arbor-doc.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
arbor-doc.x86_64
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2. Uninstall "arbor-doc.x86_64" package
This is a short guide on how to uninstall arbor-doc.x86_64 on Fedora 38:
$
sudo dnf remove
arbor-doc.x86_64
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$
sudo dnf autoremove
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3. Information about the arbor-doc.x86_64 package on Fedora 38
Last metadata expiration check: 3:28:28 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : arbor-doc
Version : 0.7
Release : 7.fc38
Architecture : x86_64
Size : 110 k
Source : arbor-0.7-7.fc38.src.rpm
Repository : updates
Summary : Documentation for arbor
URL : https://github.com/arbor-sim/arbor
License : BSD-3-Clause
Description : Arbor is a high-performance library for Computational Neuroscience simulations.
:
: Some key features include:
:
: - Asynchronous spike exchange that overlaps compute and communication.
: - Efficient sampling of voltage and current on all back ends.
: - Efficient implementation of all features on GPU.
: - Reporting of memory and energy consumption (when available on platform).
: - An API for addition of new cell types, e.g. LIF and Poisson spike generators.
: - Validation tests against numeric/analytic models and NEURON.
:
: Documentation is available at https://arbor.readthedocs.io/en/latest/
Available Packages
Name : arbor-doc
Version : 0.7
Release : 7.fc38
Architecture : x86_64
Size : 110 k
Source : arbor-0.7-7.fc38.src.rpm
Repository : updates
Summary : Documentation for arbor
URL : https://github.com/arbor-sim/arbor
License : BSD-3-Clause
Description : Arbor is a high-performance library for Computational Neuroscience simulations.
:
: Some key features include:
:
: - Asynchronous spike exchange that overlaps compute and communication.
: - Efficient sampling of voltage and current on all back ends.
: - Efficient implementation of all features on GPU.
: - Reporting of memory and energy consumption (when available on platform).
: - An API for addition of new cell types, e.g. LIF and Poisson spike generators.
: - Validation tests against numeric/analytic models and NEURON.
:
: Documentation is available at https://arbor.readthedocs.io/en/latest/