Aquila-LCS: GPU/CPU-accelerated particle advection schemes for large-scale simulations
We introduce Aquila-LCS, GPU and CPU optimized object-oriented, in-house codes for volumetric particle advection and 3D Finite-Time Lyapunov Exponent (FTLE) and Finite-Size Lyapunov Exponent (FSLE) computations. The purpose is to analyze 3D Lagrangian Coherent Structures (LCS) in large Direct Numeri...
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| Veröffentlicht in: | SoftwareX Jg. 27; S. 101836 |
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Elsevier B.V
01.09.2024
Elsevier |
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| Abstract | We introduce Aquila-LCS, GPU and CPU optimized object-oriented, in-house codes for volumetric particle advection and 3D Finite-Time Lyapunov Exponent (FTLE) and Finite-Size Lyapunov Exponent (FSLE) computations. The purpose is to analyze 3D Lagrangian Coherent Structures (LCS) in large Direct Numerical Simulation (DNS) data. Our technique uses advanced search strategies for quick cell identification and efficient storage techniques. This solver scales effectively on both GPUs (up to 62 NVIDIA V100 GPUs) and multi-core CPUs (up to 32,768 CPU-cores), tracking up to 8-billion particles. We apply our approach to turbulent boundary layers at different flow regimes and Reynolds numbers. |
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| AbstractList | We introduce Aquila-LCS, GPU and CPU optimized object-oriented, in-house codes for volumetric particle advection and 3D Finite-Time Lyapunov Exponent (FTLE) and Finite-Size Lyapunov Exponent (FSLE) computations. The purpose is to analyze 3D Lagrangian Coherent Structures (LCS) in large Direct Numerical Simulation (DNS) data. Our technique uses advanced search strategies for quick cell identification and efficient storage techniques. This solver scales effectively on both GPUs (up to 62 NVIDIA V100 GPUs) and multi-core CPUs (up to 32,768 CPU-cores), tracking up to 8-billion particles. We apply our approach to turbulent boundary layers at different flow regimes and Reynolds numbers. |
| ArticleNumber | 101836 |
| Author | Lagares, Christian Araya, Guillermo |
| Author_xml | – sequence: 1 givenname: Christian surname: Lagares fullname: Lagares, Christian email: christian.lagares@upr.edu organization: Department of Mechanical Eng., University of Puerto Rico at Mayaguez, PO Box 9000, PR 00681, USA – sequence: 2 givenname: Guillermo surname: Araya fullname: Araya, Guillermo email: araya@mailaps.org organization: Computational Turbulence and Visualization Lab, Department of Mechanical Eng., University of Texas at San Antonio, One UTSA Circle, TX 78249, USA |
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| Cites_doi | 10.1016/j.softx.2023.101411 10.1146/annurev-fluid-010313-141322 10.3390/e24040555 10.1038/s41586-020-2649-2 10.1016/j.softx.2015.06.001 10.1017/S0022112006003648 10.1016/j.jocs.2014.12.002 10.1016/j.jcp.2015.01.010 10.1109/99.660313 10.1016/S0167-2789(00)00142-1 10.3390/en16124800 10.1016/j.compfluid.2018.07.015 10.1017/jfm.2013.214 10.1016/j.jcp.2015.03.040 10.3390/sym14040823 10.1017/S0022112008001018 10.1016/j.softx.2022.101151 10.1016/j.softx.2015.11.001 10.1016/j.softx.2022.101256 10.1016/S0167-2789(00)00199-8 |
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| Keywords | DNS GPU-accelerated LCS Distributed memory algorithms FTLE FSLE |
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| References | Zhu (b16) 2015; 3–4 Wilson, Tutkun, Cal (b7) 2013; 728 Lagares, Rivera, Araya (b2) 2022; 14 CTVLab (b21) 2023 Araya, Lagares, Jansen (b30) 2020 Nelson, Jacobs (b11) 2015; 295 Abraham, Murtola, Schulz, Pall, Smith, Hess (b14) 2015; 1 Karrasch, Haller (b19) 2013; 23 Lagares, Araya (b28) 2022 Green, Rowley, Haller (b6) 2007; 572 Dagum, Menon (b25) 1998; 5 Araya, Lagares (b29) 2022; 24 Haller (b5) 2015; 47 Pheatt (b26) 2008; 23 Onu, Huhn, Haller (b9) 2015; 7 Haller (b4) 2001; 149 Lagares, Araya (b27) 2023; 16 Wu, Scully-Allison, Carthen, Garcia, Hoang, Lewis (b15) 2023; 23 Aguilar-Cabello, Parras, del Pino (b18) 2022; 20 Harris, Millman, van der Walt, Gommers, Virtanen, Cournapeau (b22) 2020; 585 Peikert, Pobitzer, Sadlo, Schindler (b20) 2014 Lattner, Adve (b24) 2004 Fortin, Briffard, Garon (b12) 2015; 285 Lagares, Rivera, Araya (b1) 2021 Dauch, Rapp, Chaussonnet, Braun, Keller, Kaden (b13) 2018; 175 Haller, Yuan (b3) 2000; 147 Luo, Qin, Mei (b17) 2022; 19 Pan, Wang, Zhang, Feng (b8) 2008; 603 Saltar, Lagares, Araya (b10) 2022 Lam, Pitrou, Seibert (b23) 2015 Lagares (10.1016/j.softx.2024.101836_b2) 2022; 14 Haller (10.1016/j.softx.2024.101836_b5) 2015; 47 Fortin (10.1016/j.softx.2024.101836_b12) 2015; 285 Haller (10.1016/j.softx.2024.101836_b4) 2001; 149 Peikert (10.1016/j.softx.2024.101836_b20) 2014 Harris (10.1016/j.softx.2024.101836_b22) 2020; 585 Dagum (10.1016/j.softx.2024.101836_b25) 1998; 5 Lattner (10.1016/j.softx.2024.101836_b24) 2004 Onu (10.1016/j.softx.2024.101836_b9) 2015; 7 Pan (10.1016/j.softx.2024.101836_b8) 2008; 603 Karrasch (10.1016/j.softx.2024.101836_b19) 2013; 23 Aguilar-Cabello (10.1016/j.softx.2024.101836_b18) 2022; 20 CTVLab (10.1016/j.softx.2024.101836_b21) 2023 Lam (10.1016/j.softx.2024.101836_b23) 2015 Araya (10.1016/j.softx.2024.101836_b29) 2022; 24 Wilson (10.1016/j.softx.2024.101836_b7) 2013; 728 Saltar (10.1016/j.softx.2024.101836_b10) 2022 Lagares (10.1016/j.softx.2024.101836_b1) 2021 Haller (10.1016/j.softx.2024.101836_b3) 2000; 147 Pheatt (10.1016/j.softx.2024.101836_b26) 2008; 23 Nelson (10.1016/j.softx.2024.101836_b11) 2015; 295 Araya (10.1016/j.softx.2024.101836_b30) 2020 Luo (10.1016/j.softx.2024.101836_b17) 2022; 19 Abraham (10.1016/j.softx.2024.101836_b14) 2015; 1 Green (10.1016/j.softx.2024.101836_b6) 2007; 572 Wu (10.1016/j.softx.2024.101836_b15) 2023; 23 Zhu (10.1016/j.softx.2024.101836_b16) 2015; 3–4 Dauch (10.1016/j.softx.2024.101836_b13) 2018; 175 Lagares (10.1016/j.softx.2024.101836_b27) 2023; 16 Lagares (10.1016/j.softx.2024.101836_b28) 2022 |
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