How to Install and Uninstall diy-mpich-devel Package on openSuSE Tumbleweed
Last updated: December 28,2024
1. Install "diy-mpich-devel" package
Please follow the steps below to install diy-mpich-devel on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
diy-mpich-devel
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2. Uninstall "diy-mpich-devel" package
This guide covers the steps necessary to uninstall diy-mpich-devel on openSuSE Tumbleweed:
$
sudo zypper remove
diy-mpich-devel
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3. Information about the diy-mpich-devel package on openSuSE Tumbleweed
Information for package diy-mpich-devel:
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : diy-mpich-devel
Version : 3.5.0-4.7
Arch : x86_64
Vendor : openSUSE
Installed Size : 476.5 KiB
Installed : No
Status : not installed
Source package : diy-mpich-3.5.0-4.7.src
Upstream URL : https://github.com/diatomic/diy
Summary : A block-parallel library
Description :
Diy is a block-parallel library for implementing scalable
algorithms that can execute both in-core and out-of-core. The same
program can be executed with one or more threads per MPI process,
seamlessly combining distributed-memory message passing with
shared-memory thread parallelism. The abstraction enabling these
capabilities is block parallelism; blocks and their message queues
are mapped onto processing elements (MPI processes or threads) and
are migrated between memory and storage by the diy runtime. Complex
communication patterns, including neighbor exchange, merge reduction,
swap reduction, and all-to-all exchange, are possible in- and
out-of-core in diy.
This package provides the header files for development with diy.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : diy-mpich-devel
Version : 3.5.0-4.7
Arch : x86_64
Vendor : openSUSE
Installed Size : 476.5 KiB
Installed : No
Status : not installed
Source package : diy-mpich-3.5.0-4.7.src
Upstream URL : https://github.com/diatomic/diy
Summary : A block-parallel library
Description :
Diy is a block-parallel library for implementing scalable
algorithms that can execute both in-core and out-of-core. The same
program can be executed with one or more threads per MPI process,
seamlessly combining distributed-memory message passing with
shared-memory thread parallelism. The abstraction enabling these
capabilities is block parallelism; blocks and their message queues
are mapped onto processing elements (MPI processes or threads) and
are migrated between memory and storage by the diy runtime. Complex
communication patterns, including neighbor exchange, merge reduction,
swap reduction, and all-to-all exchange, are possible in- and
out-of-core in diy.
This package provides the header files for development with diy.