• DocumentCode
    692854
  • Title

    11 PFLOP/s simulations of cloud cavitation collapse

  • Author

    Rossinelli, Diego ; Hejazialhosseini, Babak ; Hadjidoukas, Panagiotis ; Bekas, Costas ; Curioni, Alessandro ; Bertsch, Adam ; Futral, Scott ; Schmidt, Steffen J. ; Adams, Nikolaus A. ; Koumoutsakos, Petros

  • Author_Institution
    Dept. of Comput. Sci., ETH Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    17-22 Nov. 2013
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    We present unprecedented, high throughput simulations of cloud cavitation collapse on 1.6 million cores of Sequoia reaching 55% of its nominal peak performance, corresponding to 11 PFLOP/s. The destructive power of cavitation reduces the lifetime of energy critical systems such as internal combustion engines and hydraulic turbines, yet it has been harnessed for water purification and kidney lithotripsy. The present two-phase flow simulations enable the quantitative prediction of cavitation using 13 trillion grid points to resolve the collapse of 15´000 bubbles. We advance by one order of magnitude the current state-of-the-art in terms of time to solution, and by two orders the geometrical complexity of the flow. The software successfully addresses the challenges that hinder the effective solution of complex flows on contemporary supercomputers, such as limited memory bandwidth, I/O bandwidth and storage capacity. The present work redefines the frontier of high performance computing for fluid dynamics simulations.
  • Keywords
    bubbles; cavitation; cloud computing; computational fluid dynamics; flow simulation; mainframes; parallel machines; parallel processing; two-phase flow; I/O bandwidth; PFLOP/s simulations; cloud cavitation collapse; contemporary supercomputers; destructive power; energy critical systems; fluid dynamics simulations; geometrical complexity; high performance computing; hydraulic turbines; internal combustion engines; kidney lithotripsy; storage capacity; two-phase flow simulations; water purification; Bandwidth; Computational modeling; Equations; Kernel; Mathematical model; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SC), 2013 International Conference for
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4503-2378-9
  • Type

    conf

  • DOI
    10.1145/2503210.2504565
  • Filename
    6877436