Massively-parallel Lagrangian particle code and applications
Massively-parallel, distributed-memory algorithms for the Lagrangian particle hydrodynamic method (Samulyak et al., 2018) have been developed, verified, and implemented. The key component of parallel algorithms is a particle management module that includes a parallel construction of octree databases...
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| Vydáno v: | Mechanics research communications Ročník 129; číslo C; s. 104075 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
Elsevier Ltd
01.05.2023
Elsevier |
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| ISSN: | 0093-6413, 1873-3972 |
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| Abstract | Massively-parallel, distributed-memory algorithms for the Lagrangian particle hydrodynamic method (Samulyak et al., 2018) have been developed, verified, and implemented. The key component of parallel algorithms is a particle management module that includes a parallel construction of octree databases, dynamic adaptation and refinement of octrees, and particle migration between parallel subdomains. The particle management module is based on the p4est (parallel forest of k-trees) library. The massively-parallel Lagrangian particle code has been applied to a variety of fundamental science and applied problems. A summary of Lagrangian particle code applications to the injection of impurities into thermonuclear fusion devices and to the simulation of supersonic hydrogen jets in support of laser-plasma wakefield acceleration research has also been presented.
•Massively-parallel, distributed-memory algorithms for Lagrangian particle method.•Particle manager based on parallel construction and dynamic adaptation of octrees.•Optimal load balance and good scalability on hundreds of cores.•Summary of applications to thermonuclear fusion and supersonic hydrogen jets. |
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| AbstractList | Massively-parallel, distributed-memory algorithms for the Lagrangian particle hydrodynamic method (Samulyak et al., 2018) have been developed, verified, and implemented. The key component of parallel algorithms is a particle management module that includes a parallel construction of octree databases, dynamic adaptation and refinement of octrees, and particle migration between parallel subdomains. The particle management module is based on the p4est (parallel forest of k-trees) library. The massively-parallel Lagrangian particle code has been applied to a variety of fundamental science and applied problems. A summary of Lagrangian particle code applications to the injection of impurities into thermonuclear fusion devices and to the simulation of supersonic hydrogen jets in support of laser-plasma wakefield acceleration research has also been presented.
•Massively-parallel, distributed-memory algorithms for Lagrangian particle method.•Particle manager based on parallel construction and dynamic adaptation of octrees.•Optimal load balance and good scalability on hundreds of cores.•Summary of applications to thermonuclear fusion and supersonic hydrogen jets. |
| ArticleNumber | 104075 |
| Author | Yuan, Shaohua Aguilar, Mario Zepeda Naitlho, Nizar Samulyak, Roman |
| Author_xml | – sequence: 1 givenname: Shaohua surname: Yuan fullname: Yuan, Shaohua organization: Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA – sequence: 2 givenname: Mario Zepeda surname: Aguilar fullname: Aguilar, Mario Zepeda organization: Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA – sequence: 3 givenname: Nizar surname: Naitlho fullname: Naitlho, Nizar organization: Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA – sequence: 4 givenname: Roman orcidid: 0000-0002-1855-7400 surname: Samulyak fullname: Samulyak, Roman email: roman.samulyak@stonybrook.edu organization: Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA |
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| Cites_doi | 10.1088/1741-4326/abdcd2 10.1063/5.0029721 10.1146/annurev.aa.30.090192.002551 10.1016/j.jcp.2016.12.004 10.1088/0034-4885/68/8/R01 10.1002/(SICI)1097-0207(19990320)44:8<1115::AID-NME547>3.0.CO;2-L 10.1016/j.cpc.2022.108396 10.1016/j.jcp.2014.03.041 10.1063/1.5095780 10.1016/j.jcp.2018.02.004 10.1016/S0307-904X(01)00029-4 10.1137/100791634 10.1063/5.0106724 10.1016/j.jcp.2007.01.039 10.1063/5.0110388 10.1002/fld.1650200824 10.1006/jcph.2000.6517 10.1016/0146-664X(82)90104-6 10.1063/5.0027167 |
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| References | Hollmann, Naitlho, Yuan, Samulyak, Parks, Shiraki, Herfindal, Marini (b16) 2022; 29 Avesani, Dumbser, Bellin (b3) 2014; 270 Oger (b8) 2007; 225 Burstedde, Wilcox, Ghattas (b14) 2011; 33 Yuan, Naitlho, Samulyak, Pegourie, Nardon, Hollmann, Parks, Lehnen (b19) 2022; 29 Yu, Kumar, Yuan, Cheng, Samulyak (b15) 2022; 277 Kumar, Yu, Zgadzaj, Amorim, Downer, Welsh, Litvinenko, Vafaei-Najafabadi, Samulyak (b20) 2019; 26 Diltz (b5) 1999; 44 Monaghan (b4) 1992; 30 Samulyak, Yuan, Naitlho, Parks (b11) 2021; 61 Yee, Vinokur, Djomehri (b17) 2000; 162 Hopkins (b6) 2014; 450 Frontiere, Raskin, Owen (b2) 2017; 332 Zepeda (b12) 2022 Bosviel, Parks, Samulyak (b18) 2021; 28 Kumar, Yu, Zgadzaj, Downer, Petrushina, Samulyak, Litvinenko, Vafaei-Najafabadi (b21) 2021; 28 Liu, Sukky, Zhang (b7) 1995; 20 Monaghan (b1) 2005; 68 Samulyak, Wang, Chen (b9) 2018; 362 Meagher (b13) 1982; 19 Benito, Urena, Gavete (b10) 2001; 25 Frontiere (10.1016/j.mechrescom.2023.104075_b2) 2017; 332 Zepeda (10.1016/j.mechrescom.2023.104075_b12) 2022 Burstedde (10.1016/j.mechrescom.2023.104075_b14) 2011; 33 Yu (10.1016/j.mechrescom.2023.104075_b15) 2022; 277 Hollmann (10.1016/j.mechrescom.2023.104075_b16) 2022; 29 Yuan (10.1016/j.mechrescom.2023.104075_b19) 2022; 29 Avesani (10.1016/j.mechrescom.2023.104075_b3) 2014; 270 Hopkins (10.1016/j.mechrescom.2023.104075_b6) 2014; 450 Yee (10.1016/j.mechrescom.2023.104075_b17) 2000; 162 Oger (10.1016/j.mechrescom.2023.104075_b8) 2007; 225 Kumar (10.1016/j.mechrescom.2023.104075_b21) 2021; 28 Monaghan (10.1016/j.mechrescom.2023.104075_b1) 2005; 68 Diltz (10.1016/j.mechrescom.2023.104075_b5) 1999; 44 Kumar (10.1016/j.mechrescom.2023.104075_b20) 2019; 26 Monaghan (10.1016/j.mechrescom.2023.104075_b4) 1992; 30 Meagher (10.1016/j.mechrescom.2023.104075_b13) 1982; 19 Benito (10.1016/j.mechrescom.2023.104075_b10) 2001; 25 Bosviel (10.1016/j.mechrescom.2023.104075_b18) 2021; 28 Liu (10.1016/j.mechrescom.2023.104075_b7) 1995; 20 Samulyak (10.1016/j.mechrescom.2023.104075_b9) 2018; 362 Samulyak (10.1016/j.mechrescom.2023.104075_b11) 2021; 61 |
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