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tics on models and corresponding linear systems with over 2 billion degrees of freedom were demonstrated, showing the potential for HPC to enable acoustics solutions that were not previously possible. As future software and hard- ware advances continue to evolve, one can expect HPC to continue to expand the range of acoustics problems that can be solved for realistic engineering applications.
Although the technology has made great strides in recent decades, there is still significant research that is ongo- ing and more that is required for HPC to continue to expand the boundaries of large-scale acoustic modeling. Some areas where emerging computational research is essential include
• The optimal use of GPU-based architectures with high-order finite elements;
• Continued development of GPU-aware multilevel domain decomposition and multigrid solvers for acoustics and structural acoustics problems;
• Advances in mesh creation for large-scale acoustics problems; and
• Advances in HPC for large-scale optimization (e.g., design and inverse problems) problems in structural acoustics, wherein the solution of the acoustics equa- tions is inside of an optimization loop.
Sandia National Laboratories is a multimission labora- tory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the US Department of Energy National Nuclear Security Admin- istration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the US Department of Energy or the United States Government. The capabilities reported herein are the work of many people including the authors, Nathan Crane, David Day, Sean Hardesty, Payton Lindsay, Lynn Munday, Kendall Pierson, Jerry Rouse, Scott Gampert, Ryan Schultz, Nich- olas Reynolds, Michael Miraglia, and Jonathan Stergiou.
Atalla, N., and Sgard, F. (2017). Finite Element and Boundary Methods in Structural Acoustics and Vibration. CRC Press, Boca Raton, FL. Bhardwaj, M., Pierson, K., Reese, G., Walsh T., Day, D., Alvin, K., Peery,
J., Farhat, C., and Lesoinne, M. (2002). Salinas: A scalable software for high-performance structural and solid mechanics simulations.
In Proceedings of the 2002 ACM/IEEE Conference on Supercomputing,
Baltimore, MD, November 16–22, 2002.
Bunting, G. (2019). Strong and Weak Scaling of the Sierra/SD Eigen-
vector Problem to a Billion Degrees of Freedom. Technical Report SAND2019-1217, Sandia National Laboratories, Albuquerque, NM.
Available at
Craggs, A. (1971). The transient response of a coupled plate-acoustic
system using plate and acoustic finite elements. Journal of Sound and Vibration 15, 509-528.
Craggs, A. (1972). An acoustic finite element approach for study- ing boundary flexibility and sound transmission between irregular enclosures. Journal of Sound and Vibration 30, 331-339.
Cray, S. (2020) Seymour Cray. Wikipedia. Available at
Davis, T. (2006). Direct Methods for Sparse Linear Systems (Fundamen- tals of Algorithms 2). Society for Industrial and Applied Mathematics, Philadelphia, PA.
Dohrmann, C., and Widlund, O. (2010). Hybrid domain decomposition algorithms for compressible and almost incompressible elasticity. Inter- national Journal for Numerical Methods in Engineering 82, 157-183.
Duda, T., Bonnel, J., Coelho, E., and Heaney, K. (2019). Computational acoustics in oceanography: The research roles of sound field simulations.
Acoustics Today 15(3), 28-37. Gladwell, G. (1965). A finite element method for acoustics. In Proceed- ings of the Fifth International Conference on Acoustics, Liege, Belgium,
Paper L33.
Hart, C., Reznicek, N., and Wilson, C. (2016). Comparison between
physics-based, engineering, and statistical learning models for out- door sound propagation. The Journal of the Acoustical Society of
America 139, 2640-2655.
Hochgraf, K. (2019). The art of concert hall acoustics: Current trends
and questions in research and design. Acoustics Today 15(1), 28-36. Oak Ridge National Laboratory. (2020). Summit. Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN. Available at Moore, G. (1965). Cramming more components onto integrated cir-
cuits. Electronics 38(8), 114-117.
Moyer, T., Stergiou, J., Reese, G., Luton, J., and Abboud, N. (2016). Navy
enhanced sierra mechanics (NESM): Toolbox for predicting Navy shock
and damage. Computing in Science & Engineering 18(6), 10-18. National Aeronautics and Space Administration (2019). Orion Capsule. National Aeronautics and Space Administration, Washington, DC.
Available at
Pierce, A. (2019). Acoustics, 3rd ed. Springer International Publishing,
Cham, Switzerland.
Schultz, R., Ross, M., Stasiunas, E., and Walsh, T. (2015). Finite ele-
ment simulation of a direct-field acoustic test of a flight system using acoustic source inversion. In Proceedings of the 86th Shock and Vibration Symposium, Shock and Vibration Exchange, Orlando, FL, October 5–8, 2015.
Smith, B., Bjørstad, P., and Gropp, W. (1996). Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial Differential Equations. Cambridge University Press, New York.
Suslick, K. (2019). The dawn of ultrasonics and the palace of science. Acous- tics Today 15(4), 38-46.
Top500. (2020). Summit up and running at Oak Ridge, claims first exascale application. Available at
Zienkiewicz, O., and Newton, R. (1969). Coupled vibrations of a structure submerged in a compressible fluid. In Proceedings of International Symposium on Finite Element Techniques, Stuttgart, Germany, May 1–15, 1969, pp. 359-379.
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