Case Study: Philadelphia University reduces simulation runtime from 3 days to 30 minutes with Chariot Solutions

Philadelphia University cuts simulation runtime from 3 days to 30 minutes with Chariot Solutions

a leading Philadelphia university faced a challenge with a Python-based decision-making simulator app used for research. The application's performance did not scale well, causing research scenarios with over 50 actors to take days to process. Chariot Solutions was engaged to help improve the application's total performance.

Chariot Solutions implemented a solution that incorporated the university's Sun Grid Engine compute grid. Through refactoring inefficient code and distributing processing across multiple processors and grid nodes, they achieved dramatic speed improvements. The most extreme scenario runtime was reduced from 3 days to 30 minutes. Chariot Solutions delivered the modified app early and under budget.

Philadelphia University