How to Install and Uninstall libcombblas1.16.0 Package on Kali Linux
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "libcombblas1.16.0" package
This guide let you learn how to install libcombblas1.16.0 on Kali Linux
$
sudo apt update
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$
sudo apt install
libcombblas1.16.0
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2. Uninstall "libcombblas1.16.0" package
Please follow the instructions below to uninstall libcombblas1.16.0 on Kali Linux:
$
sudo apt remove
libcombblas1.16.0
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libcombblas1.16.0 package on Kali Linux
Package: libcombblas1.16.0
Source: combblas
Version: 1.6.2-8
Installed-Size: 702
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 5.2)
Size: 283620
SHA256: db2b38996634087844b16e93f5ad7f53c8a3ef04d5cd2b0d43978d2459a42d31
SHA1: c906c9ccf2131d677cf6bf3e3f1884256f5002ce
MD5sum: ac9317b6e610b65738ce82e7bda381d9
Description: an extensible parallel graph library for graph analytics
The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory
parallel graph library offering a small but powerful set of linear
algebra primitives specifically targeting graph analytics.
.
- The Combinatorial BLAS development influences the Graph BLAS
standardization process.
- It achieves scalability via its two dimensional distribution and
coarse-grained parallelism.
- CombBLAS powers HipMCL, a highly-scalable parallel implementation of
the Markov Cluster Algorithm (MCL).
- Operations among sparse matrices and vectors use arbitrary user
defined semirings.
.
This package provides the combblas shared library.
Description-md5: 40b7560544e0c13716535d69a7bfc105
Multi-Arch: same
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/c/combblas/libcombblas1.16.0_1.6.2-8_amd64.deb
Source: combblas
Version: 1.6.2-8
Installed-Size: 702
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 5.2)
Size: 283620
SHA256: db2b38996634087844b16e93f5ad7f53c8a3ef04d5cd2b0d43978d2459a42d31
SHA1: c906c9ccf2131d677cf6bf3e3f1884256f5002ce
MD5sum: ac9317b6e610b65738ce82e7bda381d9
Description: an extensible parallel graph library for graph analytics
The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory
parallel graph library offering a small but powerful set of linear
algebra primitives specifically targeting graph analytics.
.
- The Combinatorial BLAS development influences the Graph BLAS
standardization process.
- It achieves scalability via its two dimensional distribution and
coarse-grained parallelism.
- CombBLAS powers HipMCL, a highly-scalable parallel implementation of
the Markov Cluster Algorithm (MCL).
- Operations among sparse matrices and vectors use arbitrary user
defined semirings.
.
This package provides the combblas shared library.
Description-md5: 40b7560544e0c13716535d69a7bfc105
Multi-Arch: same
Homepage: https://people.eecs.berkeley.edu/~aydin/CombBLAS/html/index.html
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/c/combblas/libcombblas1.16.0_1.6.2-8_amd64.deb