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 -