How to Install and Uninstall python3-pathos.noarch Package on Fedora 34
Last updated: November 17,2024
1. Install "python3-pathos.noarch" package
In this section, we are going to explain the necessary steps to install python3-pathos.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-pathos.noarch
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2. Uninstall "python3-pathos.noarch" package
In this section, we are going to explain the necessary steps to uninstall python3-pathos.noarch on Fedora 34:
$
sudo dnf remove
python3-pathos.noarch
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$
sudo dnf autoremove
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3. Information about the python3-pathos.noarch package on Fedora 34
Last metadata expiration check: 1:44:30 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python3-pathos
Version : 0.2.8
Release : 1.fc34
Architecture : noarch
Size : 104 k
Source : python-pathos-0.2.8-1.fc34.src.rpm
Repository : updates
Summary : Parallel graph management and execution in heterogeneous computing
URL : https://pypi.org/pypi/pathos
License : BSD
Description : The pathos package provides a few basic tools to make parallel and distributed
: computing more accessible to the end user. The goal of pathos is to enable the
: user to extend their own code to parallel and distributed computing with
: minimal refactoring.
:
: pathos provides methods for configuring, launching, monitoring, and controlling
: a service on a remote host. One of the most basic features of pathos is the
: ability to configure and launch a RPC-based service on a remote host. pathos
: seeds the remote host with the portpicker script, which allows the remote host
: to inform the localhost of a port that is available for communication.
:
: Beyond the ability to establish a RPC service, and then post requests, is the
: ability to launch code in parallel. Unlike parallel computing performed at the
: node level (typically with MPI), pathos enables the user to launch jobs in
: parallel across heterogeneous distributed resources. pathos provides
: distributed map and pipe algorithms, where a mix of local processors and
: distributed workers can be selected. pathos also provides a very basic
: automated load balancing service, as well as the ability for the user to
: directly select the resources.
:
: The high-level pool.map interface, yields a map implementation that hides the
: RPC internals from the user. With pool.map, the user can launch their code in
: parallel, and as a distributed service, using standard python and without
: writing a line of server or parallel batch code.
:
: RPC servers and communication in general is known to be insecure. However,
: instead of attempting to make the RPC communication itself secure, pathos
: provides the ability to automatically wrap any distributed service or
: communication in a ssh-tunnel. Ssh is a universally trusted method. Using
: ssh-tunnels, pathos has launched several distributed calculations on national
: lab clusters, and to date has performed test calculations that utilize
: node-to-node communication between several national lab clusters and a user's
: laptop. pathos allows the user to configure and launch at a very atomic
: level, through raw access to ssh and scp.
:
: pathos is the core of a python framework for heterogeneous computing. pathos is
: in active development, so any user feedback, bug reports, comments, or
: suggestions are highly appreciated. A list of issues is located at
: https://github.com/uqfoundation/pathos/issues, with a legacy list maintained at
: https://uqfoundation.github.io/project/pathos/query.
Available Packages
Name : python3-pathos
Version : 0.2.8
Release : 1.fc34
Architecture : noarch
Size : 104 k
Source : python-pathos-0.2.8-1.fc34.src.rpm
Repository : updates
Summary : Parallel graph management and execution in heterogeneous computing
URL : https://pypi.org/pypi/pathos
License : BSD
Description : The pathos package provides a few basic tools to make parallel and distributed
: computing more accessible to the end user. The goal of pathos is to enable the
: user to extend their own code to parallel and distributed computing with
: minimal refactoring.
:
: pathos provides methods for configuring, launching, monitoring, and controlling
: a service on a remote host. One of the most basic features of pathos is the
: ability to configure and launch a RPC-based service on a remote host. pathos
: seeds the remote host with the portpicker script, which allows the remote host
: to inform the localhost of a port that is available for communication.
:
: Beyond the ability to establish a RPC service, and then post requests, is the
: ability to launch code in parallel. Unlike parallel computing performed at the
: node level (typically with MPI), pathos enables the user to launch jobs in
: parallel across heterogeneous distributed resources. pathos provides
: distributed map and pipe algorithms, where a mix of local processors and
: distributed workers can be selected. pathos also provides a very basic
: automated load balancing service, as well as the ability for the user to
: directly select the resources.
:
: The high-level pool.map interface, yields a map implementation that hides the
: RPC internals from the user. With pool.map, the user can launch their code in
: parallel, and as a distributed service, using standard python and without
: writing a line of server or parallel batch code.
:
: RPC servers and communication in general is known to be insecure. However,
: instead of attempting to make the RPC communication itself secure, pathos
: provides the ability to automatically wrap any distributed service or
: communication in a ssh-tunnel. Ssh is a universally trusted method. Using
: ssh-tunnels, pathos has launched several distributed calculations on national
: lab clusters, and to date has performed test calculations that utilize
: node-to-node communication between several national lab clusters and a user's
: laptop. pathos allows the user to configure and launch at a very atomic
: level, through raw access to ssh and scp.
:
: pathos is the core of a python framework for heterogeneous computing. pathos is
: in active development, so any user feedback, bug reports, comments, or
: suggestions are highly appreciated. A list of issues is located at
: https://github.com/uqfoundation/pathos/issues, with a legacy list maintained at
: https://uqfoundation.github.io/project/pathos/query.