This lecture covers the numerical simulation workflow for parallel computational fluid dynamics (CFD), focusing on the implementation in Fluent. It explains the reasons for using parallel CFD, such as performing larger simulations faster and taking advantage of high-performance computers. The lecture details mesh partitioning, parallel performance metrics like bandwidth and latency, and the impact of dynamic load balancing on computational efficiency. It also discusses the architecture for running parallel calculations and the optimal use of parallel computation for different problem sizes and complexities.
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