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Petaflop hydrokinetic simulations of complex flows on massive GPU clusters

Academic Article
Publication Date:
2013
abstract:
We present recent extensions of the MUPHY computational framework for multi-scale simulation of complex bio-fluidic phenomena in real-life geometries. The new framework, which builds on concurrent advances of the computational modeling and parallelization techniques, is able to simulate suspensions with several hundreds of millions of finite-size bodies, interacting with each other and with the surrounding fluid, in geometries of realistic anatomic complexity. Blood flow through the human coronary arteries, at physiological hematocrit values, is simulated with a spatial resolution of 10 micrometers, comparable with the size of red blood cells. The simulation exhibits excellent parallel scalability on a cluster of 4000 M2050 Nvidia GPUs, with an aggregate performance close to 1 Petaflop/s. © 2012 Elsevier B.V. All rights reserved.
Iris type:
01.01 Articolo in rivista
Keywords:
Biofluidics; Hemodynamics; Multi-GPU
List of contributors:
Succi, Sauro; Bernaschi, Massimo; Melchionna, Simone
Authors of the University:
BERNASCHI MASSIMO
MELCHIONNA SIMONE
Handle:
https://iris.cnr.it/handle/20.500.14243/334971
Published in:
COMPUTER PHYSICS COMMUNICATIONS
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-84868192111&origin=inward
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