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@inproceedings{Vincent:2017:10.1109/SC.2016.1,
author = {Vincent, PE and Witherden, FD and Vermeire and Park, JS and Iyer},
doi = {10.1109/SC.2016.1},
publisher = {IEEE},
title = {Towards green aviation with Python at petascale},
url = {http://dx.doi.org/10.1109/SC.2016.1},
year = {2017}
}

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TY  - CPAPER
AB  - Accurate   simulation   of   unsteady   turbulentflow  is  critical  for  improved  design  of  greener  aircraftthat  are  quieter  and  more  fuel-efficient.  We  demonstrateapplication  of  PyFR,  a  Python  based  computational  fluiddynamics   solver,   to   petascale   simulation   of   such   flowproblems.  Rationale  behind  algorithmic  choices,  whichoffer  increased  levels  of  accuracy  and  enable  sustainedcomputation at up to 58% of peak DP-FLOP/s on unstruc-tured  grids,  will  be  discussed  in  the  context  of  modernhardware.  A  range  of  software  innovations  will  also  bedetailed, including use of runtime code generation, whichenables   PyFR   to   efficiently   target   multiple   platforms,including  heterogeneous  systems,  via  a  single  implemen-tation.   Finally,   results   will   be   presented   from   a   full-scale simulation of flow over a low-pressure turbine bladecascade, along with weak/strong scaling statistics from thePiz  Daint  and  Titan  supercomputers,  and  performancedata  demonstrating  sustained  computation  at  up  to  13.7DP-PFLOP/s.
AU  - Vincent,PE
AU  - Witherden,FD
AU  - Vermeire
AU  - Park,JS
AU  - Iyer
DO  - 10.1109/SC.2016.1
PB  - IEEE
PY  - 2017///
TI  - Towards green aviation with Python at petascale
UR  - http://dx.doi.org/10.1109/SC.2016.1
UR  - http://hdl.handle.net/10044/1/43000
ER  -

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