Unleashing Simple Pendulum Dynamics with Posit Arithmetic

Simulations provide a powerful means to explore, analyze, and understand complex systems, allowing us to make informed decisions across various domains. Fields like genomics, physics, and climate science and many more heavily rely on simulations to produce valuable information but the Memory Wall, the gap between computation speed and data access, poses challenges, especially these days when massive amount of data is produced and quick access to it is of high priority. While solutions exist, they often require infrastructure changes or apply to specific algorithms only. Posit, a novel datatype, matches standard sizes but with higher precision. Analyzing systems like a pendulum with posits reveals lower errors compared to floats, enhancing accuracy within memory constraints. Posits excel in capturing system dynamics, surpassing competitors of similar sizes. They enable better predictions of complex simulations, advancing our understanding of natural phenomena while addressing memory limitations.