Massive parallel simulation of gas turbine combustion using a fully implicit unstructured solver on the heterogeneous Sunway Taihulight supercomputer

Abstract

Massive parallel simulations of a full annular aeroengine combustor chamber have been achieved on the on-chip heterogeneous Sunway Taihulight supercomputer. A billion-size unstructured mesh is generated through grid replication and rotation, accompanied by the development of an efficient geometric matching algorithm to address the conformal interface issue. We developed graph-based and tree-based loop fusion approaches for implicit solving procedure of the momentum equation, it is found that the strategic utilization of data reuse and separation of vector computation significantly enhances the performance on many-core processor. For linear system, a finer-grained parallelization based on sparse matrix-vector multiplication and vector computation is validated. Massive parallel tests utilizing 16 K processes with 1 M cores are successfully conducted to simulate the turbulent non-premixed combustion in an aeroengine combustor with nearly one billion cells. Compared to the pre-optimization version, this fully accelerated code achieves an impressive 5.48 times speedup in overall performance, with a parallel efficiency of up to 59 %.