Scalable Interpolation on GPUs for Thermal Fluids Applications

Lindquist, Neil; Min, Misun; Fischer, Paul

doi:10.2172/1823469

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The simulation is performed on OLCF's Summit using 10 nodes with 60 NVIDIA V100 GPUs. (Simulation by N. Lindquist [4]).…”

Section: Introductionmentioning

confidence: 99%

Simulating Atmospheric Boundary Layer Turbulence with Nek5000/RS

Min¹,

Tombouldies²

2022

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is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC under contract DE-AC02-06CH11357. The Laboratory's main facility is outside Chicago, at 9700 South Cass Avenue, Lemont, Illinois 60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov. DOCUMENT AVAILABILITYOnline Access: U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free at OSTI.GOV (http://www.osti.gov/), a service of the US Dept. of Energy's Office of Scientific and Technical Information.

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“…The simulation is performed on OLCF's Summit using 10 nodes with 60 NVIDIA V100 GPUs. (Simulation by N. Lindquist [4]).…”

Section: Introductionmentioning

confidence: 99%

Simulating Atmospheric Boundary Layer Turbulence with Nek5000/RS

Min¹,

Tombouldies²

2022

Self Cite

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Towards exascale for wind energy simulations

Min,

Brazell,

Tomboulides

et al. 2024

The International Journal of High Performance Computing Applica

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We examine large-eddy-simulation modeling approaches and computational performance of two open-source computational fluid dynamics codes for the simulation of atmospheric boundary layer flows that are of direct relevance to wind energy production. The first code, NekRS, is a high-order, unstructured-grid, spectral element code. The second code, AMR-Wind, is a second-order, block-structured, finite-volume code with adaptive mesh refinement capabilities. The objective of this study is to co-develop these codes in order to improve model fidelity and performance for each. These features will be critical for running ABL-based applications such as wind farm analysis on advanced computing architectures. To this end, we investigate the performance of NekRS and AMR-Wind on the Oak Ridge Leadership Facility supercomputers Summit, using 4 to 800 nodes (24 to 4,800 NVIDIA V100 GPUs), and Crusher, the testbed for the Frontier exascale system, using 18 to 384 Graphics Compute Dies on AMD MI250X GPUs. We compare strong- and weak-scaling capabilities, linear solver performance, and time to solution. We also identify leading inhibitors to parallel scaling.

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Scalable Interpolation on GPUs for Thermal Fluids Applications

Cited by 2 publications

References 14 publications

Simulating Atmospheric Boundary Layer Turbulence with Nek5000/RS

Simulating Atmospheric Boundary Layer Turbulence with Nek5000/RS

Towards exascale for wind energy simulations

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