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作 者:Stuart D.C.Walsh Martin O.Saar
机构地区:[1]Lawrence Livermore National Laboratory,Livermore,California,USA [2]Department of Earth Sciences,University of Minnesota,Minneapolis,Minnesota,USA
出 处:《Communications in Computational Physics》2013年第3期867-879,共13页计算物理通讯(英文)
基 金:performed under the auspices of the U.S.Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344;support by the National Science Foundation(NSF)under Grant No.DMS-0724560,Grant No.EAR-0838541,and Grant No.EAR-0941666;the Department of Energy(DOE)under Grant No.DE-EE0002764.
摘 要:Lattice-Boltzmann methods are versatile numerical modeling techniques capable of reproducing a wide variety of fluid-mechanical behavior.These methods are well suited to parallel implementation,particularly on the single-instruction multiple data(SIMD)parallel processing environments found in computer graphics processing units(GPUs).Although recent programming tools dramatically improve the ease with which GPUbased applications can be written,the programming environment still lacks the flexibility available to more traditional CPU programs.In particular,it may be difficult to develop modular and extensible programs that require variable on-device functionality with current GPU architectures.This paper describes a process of automatic code generation that overcomes these difficulties for lattice-Boltzmann simulations.It details the development of GPU-based modules for an extensible lattice-Boltzmann simulation package-LBHydra.The performance of the automatically generated code is compared to equivalent purpose written codes for both single-phase,multiphase,and multicomponent flows.The flexibility of the new method is demonstrated by simulating a rising,dissolving droplet moving through a porous medium with user generated lattice-Boltzmann models and subroutines.
关 键 词:Lattice-Boltzmann methods graphics processing units computational fluid dynamics
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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