Co Simulation

Co-simulation integrates multiple independent simulators to model complex systems, aiming to achieve higher fidelity and efficiency than single-simulator approaches. Current research focuses on diverse applications, including autonomous driving, smart grids, and large language model deployment, employing co-simulation to analyze system performance and optimize designs. This approach is crucial for evaluating complex interactions within these systems, enabling more realistic testing and development of algorithms and hardware before real-world deployment, ultimately improving safety, efficiency, and cost-effectiveness. Key methodological advancements involve improved synchronization techniques and the incorporation of machine learning for prediction and optimization within the co-simulation framework.