11 PFLOP/s simulations of cloud cavitation collapse

  • Authors:

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

  • Affiliations:

  • ETH Zürich, Switzerland;ETH Zürich, Switzerland;ETH Zürich, Switzerland;Zürich Research Laboratory, Switzerland;Zürich Research Laboratory, Switzerland;Lawrence Livermore National Laboratory;Lawrence Livermore National Laboratory;Institute of Aerodynamics and Fluid Mechanics, TU München, Germany;Institute of Aerodynamics and Fluid Mechanics, TU München, Germany;ETH Zürich, Switzerland

  • Venue:
  • SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
  • Year:
  • 2013

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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.