How to Install and Uninstall gpars Package on openSuSE Tumbleweed
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "gpars" package
Please follow the guidance below to install gpars on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
gpars
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2. Uninstall "gpars" package
This tutorial shows how to uninstall gpars on openSuSE Tumbleweed:
$
sudo zypper remove
gpars
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3. Information about the gpars package on openSuSE Tumbleweed
Information for package gpars:
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : gpars
Version : 1.2.1-2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 634,6 KiB
Installed : No
Status : not installed
Source package : gpars-1.2.1-2.10.src
Summary : Groovy Parallel Systems
Description :
The GPars framework offers Java developers intuitive and safe ways to
handle Java or Groovy tasks concurrently. Leveraging the enormous
flexibility of the Groovy programming language and building on proven
Java technologies, we aim to make concurrent programming for
multi-core hardware intuitive, robust and enjoyable.
GPars is a multi-paradigm concurrency framework, offering several
mutually cooperating high-level concurrency abstractions, such as
Dataflow operators, Promises, CSP, Actors, Asynchronous Functions,
Agents and Parallel Collections.
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : gpars
Version : 1.2.1-2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 634,6 KiB
Installed : No
Status : not installed
Source package : gpars-1.2.1-2.10.src
Summary : Groovy Parallel Systems
Description :
The GPars framework offers Java developers intuitive and safe ways to
handle Java or Groovy tasks concurrently. Leveraging the enormous
flexibility of the Groovy programming language and building on proven
Java technologies, we aim to make concurrent programming for
multi-core hardware intuitive, robust and enjoyable.
GPars is a multi-paradigm concurrency framework, offering several
mutually cooperating high-level concurrency abstractions, such as
Dataflow operators, Promises, CSP, Actors, Asynchronous Functions,
Agents and Parallel Collections.