Fig. 2: Benchmarking of runtime performance.
From: GPU-accelerated city-scale urban flood forecasting for real-time decision-making
Graph showing runtime performance for SynxFlow and SWMM-HEC-RAS-2D models for varying domain sizes expressed as percentages of the total study area. Semi-distributed SynxFlow and SWMM-HEC-RAS-2D models simulate time series of rainfall dynamics at a catchment scale, allowing for more process-based comparisons. Please note that the % area vs. time graph shows the reduced runtime of the GPU-based SynxFlow model to generate similar flood inundation maps when compared to traditional CPU-based models. Here, SynxFlow took ~3 h to simulate the entire Cook County region, while SWMM-HEC-RAS-2D simulated in ~18 h. The efficiency of the models is discussed below. Note, here we do not show the model performance for the HAND model as it utilizes a static gridded approach based solely on elevation differential and peak rainfall inputs. HAND is a simplistic model that provides a first-order estimate of inundation but does not capture surface-subsurface complex interactions or transient hydrodynamic processes.
