Python-C++ Pipeline Template Simplifies Embarrassingly Parallel Simulations

A developer has published an open-source repository demonstrating a reusable pipeline for running large numbers of independent numerical simulations with varying parameters. The workflow uses a single YAML configuration file, Python scripts to generate and collect job files, and C++ programs to handle computationally intensive calculations. A parallel command scheduler distributes hundreds of simulation jobs simultaneously, keeping orchestration and computation responsibilities cleanly separated. Bond percolation modeling serves as the illustrative example, though the pipeline is designed to be adapted for other simulation problems. The repository is available on GitHub and relies on Git submodules for its parallel scheduler and parameter-parsing components.