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Survey on Projects at DLR Simulation and Software Technology with Focus on Software Engineering and HPC

Authors: Schreiber, Andreas; Basermann, Achim;

Survey on Projects at DLR Simulation and Software Technology with Focus on Software Engineering and HPC

Abstract

We introduce the DLR institute “Simulation and Software Technology” (SC) and present current activities regarding software engineering and high performance computing (HPC) in German or international projects. Software engineering at SC focusses on data and knowledge management as well as tools for studies and experiments. We discuss how we apply software configuration management, validation and verification in our projects. Concrete research topics are traceability of (software development) processes, development in distributed teams, automated software engineering, knowledge management for software development and usability. A further important topic is the development of software and data integration frameworks. HPC research at SC focusses on parallel algorithms and data structures for numerical libraries, optimization tools and pre- and post-processing. For HPC simulation codes, we apply modern parallelization techniques like hybrid programming, OpenCL or OpenACC to exploit many-core or GPGPU hardware efficiently. We present results from current German and European extreme computing projects regarding eigensolver and pre- and post-processing developments. Algorithmic optimization developments play an important role in a DLR project on thermal management of spacecraft. OpenACC programming is employed to accelerate helicopter simulation. For cataloging space debris, we develop parallel and distributed sensor network and data base technology.

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Keywords

Verteilte Systeme und Komponentensoftware, Software Test, Optimization, OpenACC, Post-Processing, Institut für Simulations- und Softwaretechnik, Knowledge Management, Cataloging Space Debris, High Performance Computing, Software Engineering, Pre-Processing, Parallel Numerical Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green