Cutting-edge research in physics engines: Exploring parallel technologies, algorithm insights, and upcoming trends

Abstract

Physics engines, a quintessential product of computer science, have become indispensable tools in simulating physical phenomena through mathematical computations. Their prominence in game development, engineering simulations, and various physics applications is unquestionable. Ensuring their optimization is pivotal for meeting the rigorous demands of practical experiments. The significance of this study is twofold: theoretical foundations and practical necessities. From a theoretical standpoint, this paper delves into the core principles and architectural underpinnings of physics engines. We venture into the integration of multithreading and the application of niche algorithms within these engines. Further analysis illuminates how leveraging these technologies can drastically enhance the performance of a physics engine. In culmination, we propose a robust, feasible theoretical framework for physics engines, filling in the pivotal details. This exploration aims to galvanize and steer the evolution of physics engine design. Addressing practical necessities, our research emphasizes real-world applications of various physics engines. We examine tailored optimization strategies suited for specific needs and investigate methodologies to elevate the operational efficiency of specialized physics engines. This dimension of our study holds substantial real-world implications.