How to Install and Uninstall root-roofit-batchcompute.x86_64 Package on Rocky Linux 8
Last updated: November 13,2024
1. Install "root-roofit-batchcompute.x86_64" package
This tutorial shows how to install root-roofit-batchcompute.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
root-roofit-batchcompute.x86_64
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2. Uninstall "root-roofit-batchcompute.x86_64" package
This tutorial shows how to uninstall root-roofit-batchcompute.x86_64 on Rocky Linux 8:
$
sudo dnf remove
root-roofit-batchcompute.x86_64
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$
sudo dnf autoremove
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3. Information about the root-roofit-batchcompute.x86_64 package on Rocky Linux 8
Last metadata expiration check: 1:16:16 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : root-roofit-batchcompute
Version : 6.26.06
Release : 1.el8
Architecture : x86_64
Size : 131 k
Source : root-6.26.06-1.el8.src.rpm
Repository : epel
Summary : Optimized computation functions for PDFs
URL : https://root.cern/
License : LGPLv2+
Description : While fitting, a significant amount of time and processing power is
: spent on computing the probability function for every event and PDF
: involved in the fitting model. To speed up this process, roofit can
: use the computation functions provided in this library. The functions
: provided here process whole data arrays (batches) instead of a single
: event at a time, as in the legacy evaluate() function in roofit. In
: addition, the code is written in a manner that allows for compiler
: optimizations, notably auto-vectorization. This library is compiled
: multiple times for different vector instuction set architectures and
: the optimal code is executed during runtime, as a result of an
: automatic hardware detection mechanism that this library contains.
Available Packages
Name : root-roofit-batchcompute
Version : 6.26.06
Release : 1.el8
Architecture : x86_64
Size : 131 k
Source : root-6.26.06-1.el8.src.rpm
Repository : epel
Summary : Optimized computation functions for PDFs
URL : https://root.cern/
License : LGPLv2+
Description : While fitting, a significant amount of time and processing power is
: spent on computing the probability function for every event and PDF
: involved in the fitting model. To speed up this process, roofit can
: use the computation functions provided in this library. The functions
: provided here process whole data arrays (batches) instead of a single
: event at a time, as in the legacy evaluate() function in roofit. In
: addition, the code is written in a manner that allows for compiler
: optimizations, notably auto-vectorization. This library is compiled
: multiple times for different vector instuction set architectures and
: the optimal code is executed during runtime, as a result of an
: automatic hardware detection mechanism that this library contains.