國家衛生研究院 NHRI:Item 3990099045/11077

NHRI > Institute of Biomedical Engineering and Nanomedicine > Maxim Solovchuk > Periodical Articles > Item 3990099045/11077

Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/11077

Title:	High-performance multi-GPU solver for describing nonlinear acoustic waves in homogeneous thermoviscous media
Authors:	Diaz, MA;Solovchuk, MA;Sheu, TWH
Contributors:	Institute of Biomedical Engineering and Nanomedicine
Abstract:	A double-precision numerical solver to describe the propagation of high-intensity ultrasound fluctuations using a novel finite-amplitude compressible acoustic model working in multiple processing units (GPUs) is presented. The present solver is based on a conservative hyperbolic formulation derived from a variational analysis of the compressible Navier-Stokes equations and is implemented using an explicit high-order finite difference strategy. In this work, a WENO-Z reconstruction scheme along with a high-order finite-difference stencil are used to approximate the contributions of convective and diffusive spatial operators, respectively. The spatial operators are then associated to a low-storage Runge-Kutta scheme to integrate the system explicitly in time. The present multi-GPU implementation aims to make the best use of every single GPU and gain optimal performance of the algorithm on the per-node basis. To assess the performance of the present solver, a typical mini-server computer with 4 Tesla K80 dual GPU accelerators is used. The results show that the present formulation scales linearly for large domain problems. Moreover, when compared to an OpenMP implementation running with an i7 processor of 4.2 GHz, this is outperformed by our MPI-GPU implementation by a factor of 99. In this work, the present multi-GPU solver is illustrated with a three-dimensional simulation of a highly-intense focused ultrasound propagation.
Date:	2018-09
Relation:	Computers and Fluids. 2018 Sep;173:195-205.
Link to:	http://dx.doi.org/10.1016/j.compfluid.2018.03.008
JIF/Ranking 2023:	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0045-7930&DestApp=IC2JCR
Cited Times(WOS):	https://www.webofscience.com/wos/woscc/full-record/WOS:000443788400024
Cited Times(Scopus):	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85043486182
Appears in Collections:	[Maxim Solovchuk] Periodical Articles

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