How to Install and Uninstall libxsmm.x86_64 Package on Rocky Linux 8
Last updated: November 14,2024
1. Install "libxsmm.x86_64" package
This guide let you learn how to install libxsmm.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
libxsmm.x86_64
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2. Uninstall "libxsmm.x86_64" package
Please follow the guidance below to uninstall libxsmm.x86_64 on Rocky Linux 8:
$
sudo dnf remove
libxsmm.x86_64
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$
sudo dnf autoremove
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3. Information about the libxsmm.x86_64 package on Rocky Linux 8
Last metadata expiration check: 2:24:38 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : libxsmm
Version : 1.16
Release : 2.el8
Architecture : x86_64
Size : 1.3 M
Source : libxsmm-1.16-2.el8.src.rpm
Repository : epel
Summary : Small dense or sparse matrix multiplications and convolutions for x86_64
URL : https://github.com/hfp/libxsmm
License : BSD
Description : LIBXSMM is a library for small dense and small sparse matrix-matrix
: multiplications, as well as for deep learning primitives such as small
: convolutions targeting Intel Architecture (x86). The library
: generates code for the following instruction set extensions: Intel
: SSE, Intel AVX, Intel AVX2, IMCI (KNCni) for Intel Xeon Phi
: coprocessors ("KNC"), and Intel AVX‑512 as found in the Intel Xeon Phi
: processor family ("KNL") and future Intel Xeon processors. Small
: convolutions are currently only optimized for Intel AVX‑512.
: Historically the library was solely targeting the Intel Many
: Integrated Core Architecture "MIC") using intrinsic functions.
: Currently, optimized assembly code targets all aforementioned
: instruction set extensions (static code generation), and Just‑In‑Time
: (JIT) code generation targets Intel AVX and beyond.
Available Packages
Name : libxsmm
Version : 1.16
Release : 2.el8
Architecture : x86_64
Size : 1.3 M
Source : libxsmm-1.16-2.el8.src.rpm
Repository : epel
Summary : Small dense or sparse matrix multiplications and convolutions for x86_64
URL : https://github.com/hfp/libxsmm
License : BSD
Description : LIBXSMM is a library for small dense and small sparse matrix-matrix
: multiplications, as well as for deep learning primitives such as small
: convolutions targeting Intel Architecture (x86). The library
: generates code for the following instruction set extensions: Intel
: SSE, Intel AVX, Intel AVX2, IMCI (KNCni) for Intel Xeon Phi
: coprocessors ("KNC"), and Intel AVX‑512 as found in the Intel Xeon Phi
: processor family ("KNL") and future Intel Xeon processors. Small
: convolutions are currently only optimized for Intel AVX‑512.
: Historically the library was solely targeting the Intel Many
: Integrated Core Architecture "MIC") using intrinsic functions.
: Currently, optimized assembly code targets all aforementioned
: instruction set extensions (static code generation), and Just‑In‑Time
: (JIT) code generation targets Intel AVX and beyond.