SC13 Home > SC13 Schedule > SC13 Presentation - 11 PFLOP/s Simulations of Cloud Cavitation Collapse

SCHEDULE: NOV 16-22, 2013

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11 PFLOP/s Simulations of Cloud Cavitation Collapse

SESSION: ACM Gordon Bell Finalist I

EVENT TYPE: ACM Gordon Bell Finalists

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Michael L. Norman

AUTHOR(S):Diego Rossinelli, Babak Hejazialhosseini, Panagiotis Hadjidoukas, Costas Bekas, Alessandro Curioni, Adam Bertsch, Scott Futral, Steffen Schmidt, Nikolaus Adams, Petros Koumoutsakos


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.

Chair/Author Details:

Michael L. Norman (Chair) - San Diego Supercomputer Center

Diego Rossinelli - ETH Zurich

Babak Hejazialhosseini - ETH Zurich

Panagiotis Hadjidoukas - ETH Zurich

Costas Bekas - IBM Zurich Research Laboratory

Alessandro Curioni - IBM Zurich Research Laboratory

Adam Bertsch - Lawrence Livermore National Laboratory

Scott Futral - Lawrence Livermore National Laboratory

Steffen Schmidt - Technical University Munich

Nikolaus Adams - Technical University Munich

Petros Koumoutsakos - ETH Zurich

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The full paper can be found in the ACM Digital Library