TY - GEN
T1 - 11 PFLOP/s simulations of cloud cavitation collapse
AU - Rossinelli, Diego
AU - Hejazialhosseini, Babak
AU - Hadjidoukas, Panagiotis
AU - Bekas, Costas
AU - Curioni, Alessandro
AU - Bertsch, Adam
AU - Futral, Scott
AU - Schmidt, Steffen J.
AU - Adams, Nikolaus A.
AU - Koumoutsakos, Petros
PY - 2013
Y1 - 2013
N2 - 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 ow 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 ow. The software successfully addresses the challenges that hinder the effective solution of complex ows 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 uid dynamics simulations.
AB - 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 ow 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 ow. The software successfully addresses the challenges that hinder the effective solution of complex ows 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 uid dynamics simulations.
UR - http://www.scopus.com/inward/record.url?scp=84899680653&partnerID=8YFLogxK
U2 - 10.1145/2503210.2504565
DO - 10.1145/2503210.2504565
M3 - Conference contribution
AN - SCOPUS:84899680653
SN - 9781450323789
T3 - International Conference for High Performance Computing, Networking, Storage and Analysis, SC
BT - Proceedings of SC 2013
PB - IEEE Computer Society
T2 - 2013 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2013
Y2 - 17 November 2013 through 22 November 2013
ER -