On the simulation of industrial gas dynamic applications with the discontinuous Galerkin spectral element method

Hempert, Fabian; Hoffmann, M.; Iben, Uwe; Munz, Claus‐Dieter

doi:10.1007/s11630-016-0857-8

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…For a more detailed description of the geometry and the boundaries we refer to Kraus et al [33]. The simulation is in excellent agreement with experiential data from [34]. The data compression used here are performed on all conservative variables, which are double precision floating point.…”

Section: Simulation Casementioning

confidence: 64%

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Analyzing the Effect and Performance of Lossy Compression on Aeroacoustic Simulation of Gas Injector

et al. 2017

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Computational fluid dynamic simulations involve large state data, leading to performance degradation due to data transfer times, while requiring large disk space. To alleviate the situation, an adaptive lossy compression algorithm has been developed, which is based on regions of interest. This algorithm uses prediction-based compression and exploits the temporal coherence between subsequent simulation frames. The difference between the actual value and the predicted value is adaptively quantized and encoded. The adaptation is in line with user requirements, that consist of the acceptable inaccuracy, the regions of interest and the required compression throughput. The data compression algorithm was evaluated with simulation data obtained by the discontinuous Galerkin spectral element method. We analyzed the performance, compression ratio and inaccuracy introduced by the lossy compression algorithm. The post processing analysis shows high compression ratios, with reasonable quantization errors.

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Section: Simulation Casementioning

confidence: 64%

“…The reference pressure is usually taken to be 20 micro pascals. For analyzing the effect of lossy compression on SPLs we have followed the simulation set-up proposed by [33,34], which has been shown to reproduce experimental data very accurately.…”

Section: Sound Pressure Level Analysismentioning

confidence: 99%