MCPI - Monte Carlo estimation of Pi using numpy, numba, dpnp, numba-dpex

This is a "Hello, World" application in Monte Carlo methods. It stresses random number generation along with some other math required for implementation of the Acceptance-Rejection technique.

For details please refer to Wikipedia

How to run

python -m mcpi_demo [options]

Demo can be invoked in several ways:

1. Cloning Github repo and running python mcpi.py [options]
2. Cloning Github repo and running python -m mcpi_demo [options]
3. Installing conda package and invoking executable
   • conda install -c pycoddiy/label/dev mcpi-demo
   • mcpi [options]

Options

The following options are allowed:

• --variant [numpy, numba, dpnp, numba-dpex] (default numpy): Implementation variant
• --batch-size: Number of trial points in the batch
• --n-batches: Number of batches

Jupyter Notebook

The Monte Carlo Pi demo is also supplemented with the Juoyter Notebook, where step by step we illustrate the idea of the algorithm.