Work

Parallelization of the Symplectic Massive Body Algorithm (SyMBA) N-body Code

Year: 2023

Type: article

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 N 2/2 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.

Source: Research Notes of the AAS

DOI: 10.3847/2515-5172/accc8a

Authors: Tommy Chi Ho Lau, Man Hoi Lee

Institutions: Ludwig-Maximilians-Universität München, University of Hong Kong

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Research Grants Council, University Grants Committee

Award: Dynamics and Origins of Giant Planets Around Non-Solar-Type Stars