Abstract: Faster than real time simulations are mandatory for the integration of the numerical models in the core of Early warning systems for natural disasters. Achieving this goal could be possible combing domain decomposition techniques with dynamic or static load balancing algorithms and efficient implementation on new computational architectures, as GPUs. Moreover, the design of low cost Riemann solvers also plays an important role to improve the final efficiency of the numerical models.
Researchers: EDANYA group
Partner: University of Málaga with collaborations with researchers from the University of Granada and Valencia.
Related projects:
- Development of efficient hydrodynamic and morphodynamic simulators for risk assessment and forecasting (SIMUNRISK)
- Relaxed non-hydrostatic multilayer models and high-order well-balanced numerical MEthods for GeophysicAl FLOWs (MEGAFLOW)
- Modelling and computation of shocks and interfaces (ModCompShock)
- Well Balanced High Order Numerical Methods for Nonlinear Hyperbolic Systems: Application to Design of Mathematical Tools for Early Warning of Natural Disasters
- Well balanced high order numerical methods for nonlinear hyperbolic systems. Applications to the simulation of geophysical flows
Highlighted articles:
- de la Asunción et al. Numerical simulation of tsunamis generated by landslides on multiple GPUs. Advances in Engineering Software, 99, 59-72, 2016.
- de la Asunción et al. Simulation of tsunamis generated by landslides using adaptive mesh refinement on GPU. Journal of Computational Physics, 345, 91-110, 2017
- Escalante et al. Non-hydrostatic pressure shallow flows: GPU implementation using finite volume and finite difference scheme. Applied Mathematics and Computation, 338, 631-659, 2018.
- J. M. Mantas et al. An introduction to GPU computing for numerical simulation. Numerical simulation in physics and engineering. SeMA-SIMAI series vol 9. Pp. 219-251, 2016. Springer.
iMAT research lines: ⊕ RL3. Modeling Environmental Systems & Risk analysis. ⊕ RL7. Numerical Analysis.
