A GPU-Accelerated and LTS-Based Finite Volume Shallow Water Model

This paper presents a GPU (Graphics Processing Unit)-accelerated and LTS (Local-time-Step)-based finite volume Shallow Water Model (SWM). The model performance is compared against the other five versions (Single CPU with/without LTS, Multi-CPU version) by simulating three flow scenarios: an idealized dam-break flow; experimental field-scale scenario of tidal flows. Satisfactory agreements between simulation results available measured data/reference solutions (water level, velocity) indicate that all six SWM can well simulate these challenging shallow water Inter-comparisons computational efficiency following. First, acceleration much more efficient than multi-core parallel computing. Specifically, speed increase in be as high hundred, whereas those for are only 2–3. Second, implementing bring considerable reduction: additional maximum speed-ups 10 single-core CPU/multi-core versions, versions. Third, + version computationally most cases; may run fast scenarios over some intermediate number cells.