Multiprocessing Pi Estimation

This Python script estimates the value of Pi using a multiprocessing approach. The method is based on the Monte Carlo simulation, where random points are generated inside a unit square and the number of points falling inside the unit circle is counted to approximate Pi.

Features

• Utilizes all available CPU cores for parallel computation.
• Employs the Monte Carlo method for Pi estimation.

Requirements

• Python 3.x
• multiprocessing module

Usage

1. Set the variable n to the desired number of points for the simulation. The higher the number, the more accurate the estimation (e.g., 10**8).
2. Run the script: python pi_multiprocessing.py

The script will output the estimated value of Pi based on the given number of points.

How It Works

• The script divides the total number of points by the number of available CPU cores.
• Each core calculates the number of points within the unit circle for its portion of points.
• The results are aggregated and used to estimate Pi.

Note: The script prints the number of available CPUs for reference.

Customization

• Change the value of n for a different number of points.
• Uncomment the lines setting the pool variable to limit the number of processes used.