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Article: Parallelization of the Symplectic Massive Body Algorithm (SyMBA) N-body Code
| Title | Parallelization of the Symplectic Massive Body Algorithm (SyMBA) N-body Code |
|---|---|
| Authors | |
| Issue Date | 1-Apr-2023 |
| Publisher | The American Astronomical Society |
| Citation | Research Notes of the AAS, 2023, v. 7, n. 4 How to Cite? |
| Abstract | Direct N-body simulations of a large number of particles, especially in the study of planetesimal dynamics and planet formation, have been computationally challenging even with modern machines. This work presents the combination of fully parallelized N2/2 interactions and the incorporation of the GENGA code's close encounter pair grouping strategy to enable MIMD parallelization of the Symplectic Massive Body Algorithm (SyMBA) with OpenMP on multi-core CPUs in shared-memory environment. SyMBAp (SyMBA parallelized) preserves the symplectic nature of SyMBA and shows good scalability, with a speedup of 30.8 times with 56 cores in a simulation with 5000 fully interactive particles. |
| Persistent Identifier | http://hdl.handle.net/10722/338666 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lau, Tommy Chi Ho | - |
| dc.contributor.author | Lee, Man Hoi | - |
| dc.date.accessioned | 2024-03-11T10:30:37Z | - |
| dc.date.available | 2024-03-11T10:30:37Z | - |
| dc.date.issued | 2023-04-01 | - |
| dc.identifier.citation | Research Notes of the AAS, 2023, v. 7, n. 4 | - |
| dc.identifier.issn | 2515-5172 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/338666 | - |
| dc.description.abstract | <p>Direct <em>N</em>-body simulations of a large number of particles, especially in the study of planetesimal dynamics and planet formation, have been computationally challenging even with modern machines. This work presents the combination of fully parallelized <em>N</em><sup>2</sup>/2 interactions and the incorporation of the GENGA code's close encounter pair grouping strategy to enable MIMD parallelization of the Symplectic Massive Body Algorithm (SyMBA) with OpenMP on multi-core CPUs in shared-memory environment. SyMBAp (SyMBA parallelized) preserves the symplectic nature of SyMBA and shows good scalability, with a speedup of 30.8 times with 56 cores in a simulation with 5000 fully interactive particles.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | The American Astronomical Society | - |
| dc.relation.ispartof | Research Notes of the AAS | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Parallelization of the Symplectic Massive Body Algorithm (SyMBA) N-body Code | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3847/2515-5172/accc8a | - |
| dc.identifier.volume | 7 | - |
| dc.identifier.issue | 4 | - |
| dc.identifier.eissn | 2515-5172 | - |
| dc.identifier.issnl | 2515-5172 | - |