2021
DOI: 10.32920/ryerson.14662569
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High performance computing for linear acoustic wave simulation

Abstract: Parallel computing techniques are applied to a linear acoustic wave model to reduce execution time. Three parallel computing models are developed to parallelize computations. The fork-and-join, SPMD and SIMT models define the execution of parallel computations. The precision and efficiency of the linear acoustic wave model are improved through substantial speedups in all implementations. Furthermore, axisymmetric properties of certain acoustic fields lead to a reduction in the spatio-temporal complexity of tho… Show more

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Cited by 3 publications
(7 citation statements)
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“…As the model consists of several physics modules, each is compared separately with the previously published experimental or computational results to confirm the accuracy of numerical calculation and computational approach. As shown in Figure 5(a) and (b) , we first compared our results for a geometry filled with water to LATS, a previously developed accurate software for linear acoustic and thermal simulations (Butt, 2011 ; Butt et al., 2011 ; Shaswary et al., 2021 ). Results show excellent agreement (with roughly a 1.33% discrepancy).…”
Section: Validation Of the Computational Modelmentioning
confidence: 99%
“…As the model consists of several physics modules, each is compared separately with the previously published experimental or computational results to confirm the accuracy of numerical calculation and computational approach. As shown in Figure 5(a) and (b) , we first compared our results for a geometry filled with water to LATS, a previously developed accurate software for linear acoustic and thermal simulations (Butt, 2011 ; Butt et al., 2011 ; Shaswary et al., 2021 ). Results show excellent agreement (with roughly a 1.33% discrepancy).…”
Section: Validation Of the Computational Modelmentioning
confidence: 99%
“…Further, LATS (Linear Acoustic and Temperature Simulator), an acoustic field simulation tool, previously developed in our lab (Butt and Tavakkoli, 2011) was used to simulate acoustic field generated by pHIFU transducer to obtain 2D acoustic pressure and intensity profiles at the focal point.…”
Section: Imagej Image Processing Toolmentioning
confidence: 99%
“…As shown in Figure 2.12, simulating transducer's geometry using LATS, a detailed 1-D and 2-D pressure and intensity profiles can be obtained at its focal point. The Rayleigh-Sommerfield diffraction integral (Eq (2.1)) in frequency domain is used to determine the Laplace transform of velocity potential Φ(r,s) at an external field point P located in a homogeneous, isotropic, non-dissipative medium for a source vibrating with uniform velocity in xy-plane at a distance of r from the origin (Butt and Tavakkoli, 2011). Here integration is performed over surface S. Vn is particle velocity perpendicular to the transducer surface, R is the spatial distance of external point from an infinitesimal element dS and ro is the distance of dS from the origin.…”
Section: 32a Acoustic Field Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Further, LATS (Linear Acoustic and Temperature Simulator), an acoustic field simulation tool, previously developed in our lab (Butt and Tavakkoli, 2011) was used to simulate acoustic field generated by pHIFU transducer to obtain 2D acoustic pressure and intensity profiles at the focal point.…”
Section: Imagej Image Processing Toolmentioning
confidence: 99%