How to Install and Uninstall rust-matrixmultiply+cgemm-devel.noarch Package on Fedora 35
Last updated: November 26,2024
1. Install "rust-matrixmultiply+cgemm-devel.noarch" package
This is a short guide on how to install rust-matrixmultiply+cgemm-devel.noarch on Fedora 35
$
sudo dnf update
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$
sudo dnf install
rust-matrixmultiply+cgemm-devel.noarch
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2. Uninstall "rust-matrixmultiply+cgemm-devel.noarch" package
Please follow the instructions below to uninstall rust-matrixmultiply+cgemm-devel.noarch on Fedora 35:
$
sudo dnf remove
rust-matrixmultiply+cgemm-devel.noarch
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$
sudo dnf autoremove
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3. Information about the rust-matrixmultiply+cgemm-devel.noarch package on Fedora 35
Last metadata expiration check: 1:36:49 ago on Wed Sep 7 02:25:42 2022.
Available Packages
Name : rust-matrixmultiply+cgemm-devel
Version : 0.3.2
Release : 1.fc35
Architecture : noarch
Size : 8.1 k
Source : rust-matrixmultiply-0.3.2-1.fc35.src.rpm
Repository : updates
Summary : General matrix multiplication for f32 and f64 matrices
URL : https://crates.io/crates/matrixmultiply
License : MIT or ASL 2.0
Description : General matrix multiplication for f32 and f64 matrices. Operates on matrices
: with general layout (they can use arbitrary row and column stride). Detects and
: uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a
: microkernel strategy, so that the implementation is easy to parallelize and
: optimize.
: Supports multithreading.
:
: This package contains library source intended for building other packages which
: use the "cgemm" feature of the "matrixmultiply" crate.
Available Packages
Name : rust-matrixmultiply+cgemm-devel
Version : 0.3.2
Release : 1.fc35
Architecture : noarch
Size : 8.1 k
Source : rust-matrixmultiply-0.3.2-1.fc35.src.rpm
Repository : updates
Summary : General matrix multiplication for f32 and f64 matrices
URL : https://crates.io/crates/matrixmultiply
License : MIT or ASL 2.0
Description : General matrix multiplication for f32 and f64 matrices. Operates on matrices
: with general layout (they can use arbitrary row and column stride). Detects and
: uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a
: microkernel strategy, so that the implementation is easy to parallelize and
: optimize.
: Supports multithreading.
:
: This package contains library source intended for building other packages which
: use the "cgemm" feature of the "matrixmultiply" crate.