The effect of lossy data compression in computational fluid dynamics applications: Resilience and data postprocessing

Otero E, Vinuesa R, Schlatter P, Marin O, Siegel A, Laure E (2019)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2019

Publisher: Springer

Series: ERCOFTAC Series

Book Volume: 25

Pages Range: 175-181

DOI: 10.1007/978-3-030-04915-7_24

Abstract

The field of computational fluid dynamics (CFD) is data intensive, particularly for high-fidelity simulations. Direct and large-eddy simulations (DNS and LES), which are framed in this high-fidelity regime, require to capture a wide range of flow scales, a fact that leads to a high number of degrees of freedom. Besides the computational bottleneck, brought by the size of the problem, a slightly overlooked issue is the manipulation of the data. High amounts of disk space and also the slow speed of I/O (input/output) impose limitations on large-scale simulations. Typically the computational requirements for proper resolution of the flow structures are far higher than those of post-processing. To mitigate such shortcomings we employ a lossy data compression procedure, and track the reduction that occurs for various levels of truncation of the data set.

Authors with CRIS profile

Philipp Schlatter

Involved external institutions

Swedish e-Science Research Centre (SeRC) SE Sweden (SE) Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH) SE Sweden (SE) Argonne National Laboratory US United States (USA) (US)

How to cite

APA:

Otero, E., Vinuesa, R., Schlatter, P., Marin, O., Siegel, A., & Laure, E. (2019). The effect of lossy data compression in computational fluid dynamics applications: Resilience and data postprocessing. In (pp. 175-181). Springer.

MLA:

Otero, E., et al. "The effect of lossy data compression in computational fluid dynamics applications: Resilience and data postprocessing." Springer, 2019. 175-181.

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