Parallel Scalability of Three-Level FROSch Preconditioners to 220000 Cores using the Theta Supercomputer

The parallel performance of the three-level fast and robust overlapping Schwarz (FROSch) preconditioners is investigated for linear elasticity. The FROSch framework is part of the Trilinos software library and contains a parallel implementation of different preconditioners with energy minimizing coarse spaces of generalized Dryja--Smith--Widlund...

Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: A case study with the LOTOS-EUROS model (version 1.10)

In this study, we investigate a strategy to accelerate the data assimilation (DA) algorithm. Based on evaluations of the computational time, the analysis step of the assimilation turns out to be the most expensive part. After a study of the characteristics of the ensemble ash state, we propose a mask-state algorithm which records the sparsity...

Improving volcanic ash forecasts with ensemble-based data assimilation

The 2010 Eyjafjallajökull volcano eruption had serious consequences to civil aviation. This has initiated a lot of research on volcanic ash forecasting in recent years. For forecasting the volcanic ash transport after eruption onset, a volcanic ash transport and diffusion model (VATDM) needs to be run with Eruption Source Parameters (ESPs) such...

Model-data integration for predictive assessment of groundwater reactive transport systems

Predicting the evolution of groundwater contamination is a major concern for society, in particular when investments are made to remediate the contamination. Groundwater reactive transport models are valuable tools to integrate the available measurements in a consistent framework, improving our understanding of the physical system and...

Efficient Iterative Solution of Large Linear Systems on Heterogeneous Computing Systems

This dissertation deals mainly with the design, implementation, and analysis of efficient iterative solution methods for large sparse linear systems on distributed and heterogeneous computing systems as found in Grid computing. First, a case study is performed on iteratively solving large symmetric linear systems on both a multi–cluster and a...

Recursive variable expansion: A transformation for reconfigurable computing

Reconfigurable computing, in which general purpose processor (GPP) is augmented with one or more FPGAs, is increasingly used for high-performance computing where massive fine-grain parallelism and pipelining can be exploited. A challenge is to exploit such massive parallelism on FPGAs and more specifically how to map an application on the...

3D CFD problems solution using parallel computations by means of GDT package

Nowadays numerical simulation of complicated CFD problems by means of parallel computation is widely used all over the world. There are many CFD codes which can work on multiprocessor systems. The GasDynamicsTool (GDT) package developed by the GDT Software Group is one of them. It is meant for the numerical simulation of gas-dynamics processes...

Towards Interactive Indoor Thermal Comfort Simulation

The paper addresses the current state of the development of a computational steering environment (CSE) for interactive indoor thermal comfort simulation by utilizing high-performance supercomputing facilities. The CSE consists of a parallel CFD kernel, a fast spacetree-based 3D mesh generator and an integrated virtual reality-based visualization...

Interaction between algorithms and architectures in parallel computation