Developing Scientific Codes for Predictive Simulations on Massively Parallel Heterogeneous Computing Platforms: Integrating Extreme-Scale Computation, Data Analysis and Visualization II
Session Chair
Event TypeMinisymposium
CS and Math
Emerging Applications
Climate and Weather
Physics
Engineering
TimeFriday, 9 July 202114:00 - 16:00 CEST
LocationErnesto Bertarelli
DescriptionMost of the flow solvers, commercial as well as opensource, that are used for turbulent flow simulations are based on spatial discretizations that are nominally second-order accurate for evolving the compressible and incompressible Navier-Stokes on unstructured meshes that represent the underlying complex geometry. For canonical simulations of incompressible turbulent flows, on the other hand, where the geometry of the computational domain is much simpler, the solvers usually make use of FFT based pseudo-spectral solvers that could be used in conjunction with higher-order finite difference schemes. The construction of these solvers for optimal performance on GPU based platforms, and the hardware abstractions that are used to offload computations to the GPU, is the subject of this mini-symposia. Secondly, this mini-symposia will feature a talk that assesses the performance of higher-order discretization schemes (with local support) on GPU based platforms, and their ability to represent the fine scale turbulent flow features when compared with pseudo-spectral solvers that have traditionally been used for DNS of canonical flows. Finally, this mini-symposia will also present the simulation of multiphase flows with a higher-order lattice Boltzmann method.
Presentations