LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations

GPU Accelerated framework for financial nested simulations

Accelerated GPU based SPECT Monte Carlo simulations.

Monte Carlo (MC) modelling is widely used in the field of single photon emission computed tomography (SPECT) as it is a reliable technique to simulate very high quality scans. This technique provides very accurate modelling of the radiation transport and particle interactions in a heterogeneous medium. Various MC codes exist for nuclear medicine imaging simulations. Recently, new strategies exp...

Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters

The accurate simulation of real-world phenomena in computational science is often based on an underlying mathematical model comprising a system of partial differential equations (PDEs). Important research fields that we pursue in this setting are computational solid mechanics and computational fluid dynamics (CSM and CFD, see Section 3). Practical applications range from material failure tests,...

A GPU-accelerated Navier-Stokes Solver for Steady Turbomachinery Simulations

Any tiny improvement of modern turbomachinery components require nowadays a large amount of design evaluations. Every evaluation runs time consuming simulations. Reducing the computational cost of the simulations allows to run more evaluations, thus reaching a higher design improvement. In this work, an Nvidia Graphics Processing Unit (GPU) of Kepler generation is used to accelerate the FiniteV...

Faster PDE-based simulations using robust composite linear solvers

Many large-scale scientific simulations require the solution of nonlinear partial differential equations (PDEs). The effective solution of such nonlinear PDEs depends to a large extent on efficient and robust sparse linear system solution. In this paper, we show how fast and reliable sparse linear solvers can be composed from several underlying linear solution methods. We present a combinatoria...