R.M. Calazan, moraes.calazan(at)mrinha.mil.br
O.C. Rodríguez, orodrig(at)ualg.pt
and
S.M. Jesus, sjesus(at)ualg.pt
LARSyS, University of Algarve, Campus de Gambelas, PT-8005-139 Faro, Portugal.
Comments: download file (pdf).
Ref.: ICCSA 2020, Cagliari (Italy) July 2020.
Abstract:
Despite the increasing performance of modern processors it is well known that the majority of models
that account for 3D underwater acoustic predictions still require a high computational cost. In this
context, this work presents strategies to enhance the computational performance of a ray-based 3D
model. First, it is presented an optimized method for acoustic field calculations, that accounts for
a large number of sensors. Second, the inherent parallelism of ray tracing and the high workload of
3D propagation are carefully considered, leading to the development of parallel algorithms for field
predictions using a GPU architecture. The strategies were validated through performance analyses and
comparisons with experimental data from a tank scale experiment, and the results show that model
predictions are computationally efficient and accurate. The combination of numerical enhancements
and parallel computing allowed to speedup model calculations for a large number of receivers.