parally 1.3.0

Distributed computing over networks

parally

A python package to distribute CPU-intensive tasks by sending workload to other connected computers

Status

Documentation

The documentation for this package can be found here.

Usage

To use the package, run the following command in the terminal:

pip install parally

Development

To install the package, make sure conda is installed and then run the following commands in the terminal:

# Clone the repository
git clone https://github.com/acse-ci223/parally.git

# Change directory
cd parally

# Create the 'parally' environment
conda env create -f environment.yml

# Activate the environment
conda activate parally

# Install the package
pip install -e .

Examples

Example 1: Distributing a simple task

server.py

from parally import Server

HOST = "localhost"
PORT = 5000

parameters = [{"a": 1, "b": 2}, {"a": 3, "b": 4}, {"a": 5, "b": 6}]

def completed_task(result):
    print(result)

server = Server(HOST, PORT)
server.bind_parameters(parameters)
server.on_completed(completed_task)
server.on_error(lambda error: print(error))
server.start()

---

client.py

from parally import Client

HOST = "localhost"
PORT = 5000


def my_function(params):
    a = params['a']
    b = params['b']
    return a + b

client = Client(HOST, PORT)
client.run_function(my_function)
client.start()