Multiscale Hemodynamics Using GPU Clusters

作     者：Mauro Bisson Massimo Bernaschi Simone Melchionna Sauro Succi Efthimios Kaxiras 

作者机构：Department of Computer ScienceUniversity of Rome“Sapienza”Italy Istituto Applicazioni CalcoloConsiglio Nazionale delle RicercheRomeItaly Istituto Processi Chimico-FisiciConsiglio Nazionale delle RicercheRomeItaly Institute of Material Sciences and Engineering´Ecole Polytechnique F´ed´erale de LausanneSwitzerland Freiburg Institute for Advanced StudiesSchool of Soft Matter ResearchAlbertstr.1979104 FreiburgGermany Department of Physics and School of Engineering and Applied SciencesHarvard UniversityCambridgeMAUSA 

出 版 物：《Communications in Computational Physics》 (计算物理通讯（英文）)

年 卷 期：2012年第11卷第1期

页      面：48-64页

核心收录：

学科分类：08[工学] 0704[理学-天文学] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Multi-GPU computing hemodynamics molecular dynamics irregular domain 

摘      要：The parallel implementation of MUPHY,a concurrent multiscale code for large-scale hemodynamic simulations in anatomically realistic geometries,for multi-GPU platforms is *** tests show excellent results,with a nearly linear parallel speed-up on up to 32GPUs and a more than tenfold GPU/CPU acceleration,all across the range of *** basic MUPHY scheme combines a hydrokinetic(Lattice Boltzmann)representation of the blood plasma,with a Particle Dynamics treatment of suspended biological bodies,such as red blood *** the best of our knowledge,this represents the first effort in the direction of laying down general design principles for multiscale/physics parallel Particle Dynamics applications in non-ideal *** configures the present multi-GPU version of MUPHY as one of the first examples of a high-performance parallel code for multiscale/physics biofluidic applications in realistically complex geometries.