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research article

Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics

Melander, Anders
•
Strom, Emil
•
Pind, Finnur
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November 16, 2023
International Journal Of High Performance Computing Applications

We present a massively parallel and scalable nodal discontinuous Galerkin finite element method (DGFEM) solver for the time-domain linearized acoustic wave equations. The solver is implemented using the libParanumal finite element framework with extensions to handle curvilinear geometries and frequency dependent boundary conditions of relevance in practical room acoustics. The implementation is benchmarked on heterogeneous multi-device many-core computing architectures, and high performance and scalability are demonstrated for a problem that is considered expensive to solve in practical applications. In a benchmark study, scaling tests show that multi-GPU support gives the ability to simulate large rooms, over a broad frequency range, with realistic boundary conditions, both in terms of computing time and memory requirements. Furthermore, numerical simulations on two non-trivial geometries are presented, a star-shaped room with a dome and an auditorium. Overall, this shows the viability of using a multi-device accelerated DGFEM solver to enable realistic large-scale wave-based room acoustics simulations.

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Type
research article
DOI
10.1177/10943420231208948
Web of Science ID

WOS:001104120300001

Author(s)
Melander, Anders
Strom, Emil
Pind, Finnur
Engsig-Karup, Allan P.
Jeong, Cheol-Ho
Warburton, Tim
Chalmers, Noel
Hesthaven, Jan S  
Date Issued

2023-11-16

Publisher

Sage Publications Ltd

Published in
International Journal Of High Performance Computing Applications
Subjects

Technology

•

High-Performance Computing

•

Multi-Device Acceleration

•

Heterogeneous Cpu-Gpu Computing

•

Room Acoustic Simulation

•

Discontinuous Galerkin Method

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MCSS  
FunderGrant Number

The authors wish to thank Mr Hermes Sampedro Llopis and Mr Nikolas Borrel-Jensen for fruitful discussions.

Available on Infoscience
February 20, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/204392
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