TY - JOUR
T1 - Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics
AU - Melander, Anders
AU - Strøm, Emil
AU - Pind, Finnur
AU - Engsig-Karup, Allan P.
AU - Jeong, Cheol Ho
AU - Warburton, Tim
AU - Chalmers, Noel
AU - Hesthaven, Jan S.
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Discontinuous Galerkin method
KW - Heterogeneous CPU-GPU computing
KW - High-performance computing
KW - Multi-device acceleration
KW - Room acoustic simulation
U2 - 10.1177/10943420231208948
DO - 10.1177/10943420231208948
M3 - Journal article
AN - SCOPUS:85177091484
SN - 1094-3420
VL - 38
SP - 137
EP - 259
JO - International Journal of High Performance Computing Applications
JF - International Journal of High Performance Computing Applications
IS - 3
ER -