This research investigates the numerical simulation of a simple pendulum using Posit arithmetic, evaluating its accuracy and efficiency under strict memory constraints.

The work demonstrates how alternative number representations can significantly improve simulation fidelity without requiring changes to underlying hardware or system architecture.

Modern simulations generate massive volumes of data and demand high numerical precision. However, the Memory Wall — the growing gap between computation speed and data access — limits performance and accuracy.

• Floating-point precision limitations
• High memory bandwidth pressure
• Algorithm-specific optimization constraints