How to Install and Uninstall gpars Package on openSUSE Leap
Last updated: November 23,2024
1. Install "gpars" package
Please follow the guidelines below to install gpars on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
gpars
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2. Uninstall "gpars" package
Please follow the instructions below to uninstall gpars on openSUSE Leap:
$
sudo zypper remove
gpars
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3. Information about the gpars package on openSUSE Leap
Information for package gpars:
------------------------------
Repository : Main Repository
Name : gpars
Version : 1.2.1-150200.3.4.4
Arch : noarch
Vendor : SUSE LLC
Installed Size : 645.8 KiB
Installed : No
Status : not installed
Source package : gpars-1.2.1-150200.3.4.4.src
Upstream URL : http://gpars.codehaus.org
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 : Main Repository
Name : gpars
Version : 1.2.1-150200.3.4.4
Arch : noarch
Vendor : SUSE LLC
Installed Size : 645.8 KiB
Installed : No
Status : not installed
Source package : gpars-1.2.1-150200.3.4.4.src
Upstream URL : http://gpars.codehaus.org
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.