Disease modeling is a key area where HPC has a significant impact. Models such as agent-based models and compartmental models (e.g., SIR models) require immense computational power to simulate large populations and numerous variables. HPC allows for: - Scalability: Models can be scaled to include more agents and more complex interactions. - Speed: Simulations that would take years on standard computers can be completed in hours or days. - Accuracy: More detailed and accurate models can be developed, improving the reliability of predictions.
