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Yoo, Chun Sang
Combustion and Propulsion Lab.
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dc.citation.endPage 31 -
dc.citation.number 1 -
dc.citation.startPage 1 -
dc.citation.title COMPUTATIONAL SCIENCE AND DISCOVERY -
dc.citation.volume 2 -
dc.contributor.author Chen, J.H -
dc.contributor.author Choudhary, A -
dc.contributor.author De Supinski, B. -
dc.contributor.author Devries, M -
dc.contributor.author Hawkes, E.R -
dc.contributor.author Klasky, S -
dc.contributor.author Liao, W.K -
dc.contributor.author Ma, K.L -
dc.contributor.author Mellor-Crummey, -
dc.contributor.author Podhorszki, N -
dc.contributor.author Sankaran, R. -
dc.contributor.author Shende, S. -
dc.contributor.author Yoo, Chun Sang -
dc.date.accessioned 2023-12-22T08:12:28Z -
dc.date.available 2023-12-22T08:12:28Z -
dc.date.created 2014-10-16 -
dc.date.issued 2009 -
dc.description.abstract Computational science is paramount to the understanding of underlying processes in internal combustion engines of the future that will utilize non-petroleum-based alternative fuels, including carbon-neutral biofuels, and burn in new combustion regimes that will attain high efficiency while minimizing emissions of particulates and nitrogen oxides. Next-generation engines will likely operate at higher pressures, with greater amounts of dilution and utilize alternative fuels that exhibit a wide range of chemical and physical properties. Therefore, there is a significant role for high-fidelity simulations, direct numerical simulations (DNS), specifically designed to capture key turbulence-chemistry interactions in these relatively uncharted combustion regimes, and in particular, that can discriminate the effects of differences in fuel properties. In DNS, all of the relevant turbulence and flame scales are resolved numerically using high-order accurate numerical algorithms. As a consequence terascale DNS are computationally intensive, require massive amounts of computing power and generate tens of terabytes of data. Recent results from terascale DNS of turbulent flames are presented here, illustrating its role in elucidating flame stabilization mechanisms in a lifted turbulent hydrogen/air jet flame in a hot air coflow, and the flame structure of a fuel-lean turbulent premixed jet flame. Computing at this scale requires close collaborations between computer and combustion scientists to provide optimized scaleable algorithms and software for terascale simulations, efficient collective parallel I/O, tools for volume visualization of multiscale, multivariate data and automating the combustion workflow. The enabling computer science, applied to combustion science, is also required in many other terascale physics and engineering simulations. In particular, performance monitoring is used to identify the performance of key kernels in the DNS code, S3D and especially memory intensive loops in the code. Through the careful application of loop transformations, data reuse in cache is exploited thereby reducing memory bandwidth needs, and hence, improving S3D's nodal performance. To enhance collective parallel I/O in S3D, an MPI-I/O caching design is used to construct a two-stage write-behind method for improving the performance of write-only operations. The simulations generate tens of terabytes of data requiring analysis. Interactive exploration of the simulation data is enabled by multivariate time-varying volume visualization. The visualization highlights spatial and temporal correlations between multiple reactive scalar fields using an intuitive user interface based on parallel coordinates and time histogram. Finally, an automated combustion workflow is designed using Kepler to manage large-scale data movement, data morphing, and archival and to provide a graphical display of run-time diagnostics. -
dc.identifier.bibliographicCitation COMPUTATIONAL SCIENCE AND DISCOVERY, v.2, no.1, pp.1 - 31 -
dc.identifier.doi 10.1088/1749-4699/2/1/015001 -
dc.identifier.issn 1749-4680 -
dc.identifier.scopusid 2-s2.0-67650695660 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/7369 -
dc.language 영어 -
dc.publisher Institute of Physics Publishing -
dc.title Terascale direct numerical simulations of turbulent combustion using S3D -
dc.type Article -
dc.description.journalRegisteredClass scopus -

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