The influence of computer architecture on performance and scaling for hypersonic flow simulations

David A. Kessler; Ryan F. Johnson; Keith Obenschain; David C. Eder; Alice E. Koniges; Graham Candler; Heath Johnson; Joel Bretheim; Hugh Thornburg; Gopal Patnaik; Kevin Roe; David R. McDaniel; Ryan B. Bond; Eric J. Nielsen; Aaron Walden; Gabriel Nastac; Roy L. Campbell

The influence of computer architecture on performance and scaling for hypersonic flow simulations

David A. Kessler, Ryan F. Johnson, Keith Obenschain, David C. Eder, Alice E. Koniges, Graham Candler, Heath Johnson, Joel Bretheim, Hugh Thornburg, Gopal Patnaik, Kevin Roe, David R. McDaniel, Ryan B. Bond, Eric J. Nielsen, Aaron Walden, Gabriel Nastac, Roy L. Campbell

Aerospace Engineering and Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

It is critical to understand how hypersonic simulation tools perform on a range of computational platforms. This information will aid in the acquisition of appropriate hardware and the potential refactoring of hypersonic codes to run on different systems. In this paper, we consider two representative high-speed reacting flow cases: a model Mach 8 hypersonic waverider glide vehicle and a model hydrocarbon-fueled hypersonic ramjet propulsion system. In both scenarios, the flow fields are in chemical non-equilibrium and are modeled by the multi-species reacting Navier-Stokes equations. For these simulations we use several hypersonic simulation tools, including US3D, Kestrel, FUN3D, and the JENRE^R○ flow solver. We explore several high performance computing systems containing Intel^R○ Xeon^R○ Platinum processors, AMD EPYC^TM 7702 processors, and NVIDIA^R○ Tesla V100 devices. We compare performance and strong scaling between the different systems.

Original language	English (US)
Title of host publication	AIAA Scitech 2021 Forum
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
Pages	1-20
Number of pages	20
ISBN (Print)	9781624106095
State	Published - 2021
Event	AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online Duration: Jan 11 2021 → Jan 15 2021

Publication series

Name	AIAA Scitech 2021 Forum

Conference

Conference	AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
City	Virtual, Online
Period	1/11/21 → 1/15/21

Bibliographical note

Funding Information:
This work was supported in part by the DoD HPCMP, through Naval Sea System Command Award # N00024-19-D-6400, task order N00024-19-F-8814 and Air Force Research Labs Directed Energy Division Award # FA9451-20-D-0004, task order FA9451-20-f-0004, to the Maui High Performance Computing Center (MHPCC), which is operated by the University of Hawaii. Additional support was also provided through DoD HPCMP’s Productivity Enhancement and Training (PET) program. Computing resources were provided by the DoD HPCMP. The NASA participants in this study would like to acknowledge the support of the NASA Langley Research Center CIF/IRAD program and the NASA Transformational Tools and Technologies (TTT) Project of the Transformative Aeronautics Concepts Program under the Aeronautics Research Mission Directorate. We also thank Dr. Gabriel Goodwin (Naval Research Laboratory) for providing the ramjet combustion test case.

Publisher Copyright:
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

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Kessler, D. A., Johnson, R. F., Obenschain, K., Eder, D. C., Koniges, A. E., Candler, G., Johnson, H., Bretheim, J., Thornburg, H., Patnaik, G., Roe, K., McDaniel, D. R., Bond, R. B., Nielsen, E. J., Walden, A., Nastac, G., & Campbell, R. L. (2021). The influence of computer architecture on performance and scaling for hypersonic flow simulations. In AIAA Scitech 2021 Forum (pp. 1-20). (AIAA Scitech 2021 Forum). American Institute of Aeronautics and Astronautics Inc, AIAA.

The influence of computer architecture on performance and scaling for hypersonic flow simulations. / Kessler, David A.; Johnson, Ryan F.; Obenschain, Keith et al.
AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, 2021. p. 1-20 (AIAA Scitech 2021 Forum).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kessler, DA, Johnson, RF, Obenschain, K, Eder, DC, Koniges, AE, Candler, G , Johnson, H, Bretheim, J, Thornburg, H, Patnaik, G, Roe, K, McDaniel, DR, Bond, RB, Nielsen, EJ, Walden, A, Nastac, G & Campbell, RL 2021, The influence of computer architecture on performance and scaling for hypersonic flow simulations. in AIAA Scitech 2021 Forum. AIAA Scitech 2021 Forum, American Institute of Aeronautics and Astronautics Inc, AIAA, pp. 1-20, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021, Virtual, Online, 1/11/21.

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abstract = "It is critical to understand how hypersonic simulation tools perform on a range of computational platforms. This information will aid in the acquisition of appropriate hardware and the potential refactoring of hypersonic codes to run on different systems. In this paper, we consider two representative high-speed reacting flow cases: a model Mach 8 hypersonic waverider glide vehicle and a model hydrocarbon-fueled hypersonic ramjet propulsion system. In both scenarios, the flow fields are in chemical non-equilibrium and are modeled by the multi-species reacting Navier-Stokes equations. For these simulations we use several hypersonic simulation tools, including US3D, Kestrel, FUN3D, and the JENRER○ flow solver. We explore several high performance computing systems containing IntelR○ XeonR○ Platinum processors, AMD EPYCTM 7702 processors, and NVIDIAR○ Tesla V100 devices. We compare performance and strong scaling between the different systems.",

author = "Kessler, {David A.} and Johnson, {Ryan F.} and Keith Obenschain and Eder, {David C.} and Koniges, {Alice E.} and Graham Candler and Heath Johnson and Joel Bretheim and Hugh Thornburg and Gopal Patnaik and Kevin Roe and McDaniel, {David R.} and Bond, {Ryan B.} and Nielsen, {Eric J.} and Aaron Walden and Gabriel Nastac and Campbell, {Roy L.}",

note = "Funding Information: This work was supported in part by the DoD HPCMP, through Naval Sea System Command Award # N00024-19-D-6400, task order N00024-19-F-8814 and Air Force Research Labs Directed Energy Division Award # FA9451-20-D-0004, task order FA9451-20-f-0004, to the Maui High Performance Computing Center (MHPCC), which is operated by the University of Hawaii. Additional support was also provided through DoD HPCMP{\textquoteright}s Productivity Enhancement and Training (PET) program. Computing resources were provided by the DoD HPCMP. The NASA participants in this study would like to acknowledge the support of the NASA Langley Research Center CIF/IRAD program and the NASA Transformational Tools and Technologies (TTT) Project of the Transformative Aeronautics Concepts Program under the Aeronautics Research Mission Directorate. We also thank Dr. Gabriel Goodwin (Naval Research Laboratory) for providing the ramjet combustion test case. Publisher Copyright: {\textcopyright} 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 ; Conference date: 11-01-2021 Through 15-01-2021",

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AU - Candler, Graham

AU - Johnson, Heath

AU - Bretheim, Joel

AU - Thornburg, Hugh

AU - Patnaik, Gopal

AU - Roe, Kevin

AU - McDaniel, David R.

AU - Bond, Ryan B.

AU - Nielsen, Eric J.

AU - Walden, Aaron

AU - Nastac, Gabriel

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N1 - Funding Information: This work was supported in part by the DoD HPCMP, through Naval Sea System Command Award # N00024-19-D-6400, task order N00024-19-F-8814 and Air Force Research Labs Directed Energy Division Award # FA9451-20-D-0004, task order FA9451-20-f-0004, to the Maui High Performance Computing Center (MHPCC), which is operated by the University of Hawaii. Additional support was also provided through DoD HPCMP’s Productivity Enhancement and Training (PET) program. Computing resources were provided by the DoD HPCMP. The NASA participants in this study would like to acknowledge the support of the NASA Langley Research Center CIF/IRAD program and the NASA Transformational Tools and Technologies (TTT) Project of the Transformative Aeronautics Concepts Program under the Aeronautics Research Mission Directorate. We also thank Dr. Gabriel Goodwin (Naval Research Laboratory) for providing the ramjet combustion test case. Publisher Copyright: © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

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N2 - It is critical to understand how hypersonic simulation tools perform on a range of computational platforms. This information will aid in the acquisition of appropriate hardware and the potential refactoring of hypersonic codes to run on different systems. In this paper, we consider two representative high-speed reacting flow cases: a model Mach 8 hypersonic waverider glide vehicle and a model hydrocarbon-fueled hypersonic ramjet propulsion system. In both scenarios, the flow fields are in chemical non-equilibrium and are modeled by the multi-species reacting Navier-Stokes equations. For these simulations we use several hypersonic simulation tools, including US3D, Kestrel, FUN3D, and the JENRER○ flow solver. We explore several high performance computing systems containing IntelR○ XeonR○ Platinum processors, AMD EPYCTM 7702 processors, and NVIDIAR○ Tesla V100 devices. We compare performance and strong scaling between the different systems.

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ER -

The influence of computer architecture on performance and scaling for hypersonic flow simulations

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