Simulation Workflow

Simulation workflows are computational processes designed to model complex systems, aiming to optimize efficiency and resource utilization across diverse applications. Current research emphasizes efficient scheduling algorithms, particularly for distributed and heterogeneous computing environments, including those leveraging GPUs and cloud services, often incorporating AI-guided optimization and techniques like generative adversarial networks for enhanced accuracy. These advancements are crucial for accelerating scientific discovery in fields like applied mathematics, deep learning, and computational fluid dynamics, enabling more efficient and cost-effective simulations of increasingly complex systems.