How to Install and Uninstall libgraphblas9 Package on openSuSE Tumbleweed
Last updated: November 14,2024
1. Install "libgraphblas9" package
This guide let you learn how to install libgraphblas9 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libgraphblas9
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2. Uninstall "libgraphblas9" package
This guide let you learn how to uninstall libgraphblas9 on openSuSE Tumbleweed:
$
sudo zypper remove
libgraphblas9
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3. Information about the libgraphblas9 package on openSuSE Tumbleweed
Information for package libgraphblas9:
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libgraphblas9
Version : 7.5.1-50.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 133.8 MiB
Installed : No
Status : not installed
Source package : suitesparse-7.5.1-50.1.src
Upstream URL : https://people.engr.tamu.edu/davis/suitesparse.html
Summary : An implementation of the GraphBLAS standard
Description :
GraphBLAS is an full implementation of the GraphBLAS standard,
which defines a set of sparse matrix operations on an extended algebra of
semirings using an almost unlimited variety of operators and types. When
applied to sparse adjacency matrices, these algebraic operations are equivalent
to computations on graphs. GraphBLAS provides a powerful and expressive
framework for creating graph algorithms based on the elegant mathematics of
sparse matrix operations on a semiring.
GraphBLAS is part of the SuiteSparse sparse matrix suite.
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libgraphblas9
Version : 7.5.1-50.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 133.8 MiB
Installed : No
Status : not installed
Source package : suitesparse-7.5.1-50.1.src
Upstream URL : https://people.engr.tamu.edu/davis/suitesparse.html
Summary : An implementation of the GraphBLAS standard
Description :
GraphBLAS is an full implementation of the GraphBLAS standard,
which defines a set of sparse matrix operations on an extended algebra of
semirings using an almost unlimited variety of operators and types. When
applied to sparse adjacency matrices, these algebraic operations are equivalent
to computations on graphs. GraphBLAS provides a powerful and expressive
framework for creating graph algorithms based on the elegant mathematics of
sparse matrix operations on a semiring.
GraphBLAS is part of the SuiteSparse sparse matrix suite.