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Computation 2017, 5(2), 24; doi:10.3390/computation5020024

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

1
Institute for Parallel and Distributed Systems, University of Stuttgart, Universitätsstraße 38, 70569 Stuttgart, Germany
2
The High Performance Computing Center Stuttgart (HLRS), Nobelstraße 19, 70569 Stuttgart, Germany
3
Robert Bosch GmbH, Robert-Bosch-Allee 1, 74232 Abstatt, Germany
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Qinjun Kang
Received: 22 November 2016 / Revised: 4 May 2017 / Accepted: 4 May 2017 / Published: 12 May 2017
(This article belongs to the Section Computational Engineering)
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Abstract

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. View Full-Text
Keywords: adaptive lossy data compression; predictive coding; large-scale simulation; computational fluid dynamics; aeroacoustic simulation; visualization adaptive lossy data compression; predictive coding; large-scale simulation; computational fluid dynamics; aeroacoustic simulation; visualization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Najmabadi, S.M.; Offenhäuser, P.; Hamann, M.; Jajnabalkya, G.; Hempert, F.; Glass, C.W.; Simon, S. Analyzing the Effect and Performance of Lossy Compression on Aeroacoustic Simulation of Gas Injector. Computation 2017, 5, 24.

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