SC²S Colloquium - Jan 24, 2018
|Date:||Jan 24, 2018|
|Time:||15:00 - 16:15|
Sebastian Burreiner: Comparison of classic and task-based scheduling for the local time-stepping in SeisSol using OpenMP
This is a Master's thesis introduction talk advised by Carsten Uphoff.
The earthquake simulation software SeisSol uses local time-stepping to efficiently calculate large-scale simulations. The multi-threaded work distribution is done by OpenMP and currently a prototype exists that uses the OpenMP task construct. This thesis looks into different scheduling options and compares approaches possible through OpenMP tasks with more classic methods like list-based scheduling as well as the current implementation. The goal is to minimize load imbalances and thus improve the overall runtime.
Keywords: SeisSol, HPC, load balancing, local time-stepping, list-based scheduling
Lukas Krenz: Cloud Simulation with the ExaHyPE-Engine
This is a Master's thesis submission talk advised by Leonhard Rannabauer.
This thesis is concerned with the simulation of clouds with the ExaHyPE framework. ExaHyPE is an engine for hyperbolic partial differential equations that uses the ADER-DG scheme. We use the compressible Navier-Stokes equations for computational fluid dynamics. Due to the diffusive components, the Navier-Stokes equations are not hyperbolic. We thus need to modify parts of the numerical scheme. Furthermore, we extend the equation set to the reactive compressible Navier-Stokes equations which include a source term that models chemical reactions. We develop a gradient-based, global adaptive mesh refinement (AMR) criterion that finds cells with unusually large gradients. Our implementation is evaluated for standard two and three dimensional fluid dynamics test cases, for flows over a realistic background atmosphere and for a reactive detonation wave. Furthermore, we perform a convergence test and a time-to-solution benchmark that evaluates our proposed AMR criterion.
Keywords: ExaHyPE, ADER-DG, CFD
This is a Bachelor's thesis submission talk advised by Steffen Seckler.
This thesis deals with different algorithms for molecular dynamics simulations. We focus on variants of the Verlet lists. The presented algorithms are implemented in the C++ library AutoPas. For acceleration, the library uses shared-memory parallelization. We ran performance tests of the various implemented methods on the CoolMUC-2 system of the Leibniz Supercomputing Centre. From which we learned that performance, unfortunately, does not grow linearly with the number of threads used. How well we can scale depends on various factors and the algorithm used.
Keywords: Molecular Dynamics, Verlet lists, AutoPas, HPC