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Petaflop hydrokinetic simulations of complex flows on massive GPU clusters

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Title: Petaflop hydrokinetic simulations of complex flows on massive GPU clusters
Authors: Bernaschi, M.1, Bisson, M.1 mauro.bis@gmail.com, Fatica, M.2, Melchionna, S.3, Succi, S.1
Source: Computer Physics Communications. Feb2013, Vol. 184 Issue 2, p329-341. 13p.
Subjects: Graphics processing units, Computer simulation, Relaxation phenomena, Finite size scaling (Statistical physics), Hematocrit, Petaflops computers, Scalability, Computational complexity, Cluster analysis (Statistics)
Abstract: 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. [Copyright &y& Elsevier]
Copyright of Computer Physics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 83166108
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: Petaflop hydrokinetic simulations of complex flows on massive GPU clusters
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  Data: <searchLink fieldCode="JN" term="%22Computer+Physics+Communications%22">Computer Physics Communications</searchLink>. Feb2013, Vol. 184 Issue 2, p329-341. 13p.
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  Data: 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. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Computer Physics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.cpc.2012.09.016
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        Text: English
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        Type: general
      – SubjectFull: Computer simulation
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      – SubjectFull: Relaxation phenomena
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      – SubjectFull: Finite size scaling (Statistical physics)
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      – SubjectFull: Hematocrit
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      – SubjectFull: Petaflops computers
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      – SubjectFull: Scalability
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      – SubjectFull: Computational complexity
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      – SubjectFull: Cluster analysis (Statistics)
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      – TitleFull: Petaflop hydrokinetic simulations of complex flows on massive GPU clusters
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              Text: Feb2013
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