ComfSim – Interaktive Simulation des thermischen Komforts in Innenräumen auf Höchstleistungsrechnern

Treeck, Christoph van; Wenisch, Petra; Borrmann, André; Pfaffinger, Marjolaine; Wenisch, Oliver; Rank, Ernst

doi:10.1002/bapi.200710002

Cited by 7 publications

(3 citation statements)

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“…In the broader context of the underlying research project COMFSIM [15] three modules were defined. In a first study, a virtual climate chamber [14] was designed, which makes use of a human thermoregulation model according to Fiala [5].…”

Section: Motivationmentioning

confidence: 99%

“…The numerical thermal manikin can be coupled with iFluids [15]. After a series of iterations of the CFD solver, the current boundary conditions at the surface of the manikin shall be delivered to the thermoregulation interface.…”

Section: Motivationmentioning

confidence: 99%

“…The kernel of our steering framework is a Lattice-Boltzmann fluid solver which has been developed by our group and ported to the former HPC system -the pseudovector computer Hitachi SR8000-F1 -installed at Leibniz-Rechenzentrum (LRZ). This fluid solver -called iFluids [15] -was running interactively on the Hitachi while coupled with the interactive visualisation nodes also available at LRZ for computational steering applications. Due to the replacement of the old HPC system with the SGI Altix 4700 severe changes of iFluids became necessary in order to run it successfully on the new system.…”

Section: Ifluidsmentioning

confidence: 99%

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High Performance Computing in Science and Engineering, Garching/Munich 2009

2010

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Computational Steering, the combination of a simulation back-end with a visualisation front-end, offers great possibilities to exploit and optimise scenarios in engineering applications. Due to its interactivity, it requires fast grid generation, simulation, and visualisation and, therefore, mostly has to rely on coarse and inaccurate simulations typically performed on rather small interactive computing facilities and not on much more powerful high-performance computing architectures operated in batch-mode. This paper presents a steering environment that intends to bring these two worlds -the interactive and the classical HPC world -together in an integrated way. The environment consists of efficient fluid dynamics simulation codes and a steering and visualisation framework providing a user interface, communication methods for distributed steering, and parallel visualisation tools. The gap between steering and HPC is bridged by a hierarchical approach that performs fast interactive simulations for many scenario variants increasing the accuracy via hierarchical refinements in dependence of the time the user wants to wait. Finally, the user can trigger large simulations for selected setups on an HPC architecture exploiting the pre-computations already done on the interactive system.

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Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Ifluidsmentioning

confidence: 99%

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