Litcius/Paper detail

PeleC: An adaptive mesh refinement solver for compressible reacting flows

Marc Henry de Frahan, Jon Rood, Marc Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A. Perry, Ray Grout, Ann Almgren, Weiqun Zhang, John B. Bell, Jacqueline H. Chen

2022The International Journal of High Performance Computing Applications94 citationsDOIOpen Access PDF

Abstract

Reacting flow simulations for combustion applications require extensive computing capabilities. Leveraging the AMReX library, the Pele suite of combustion simulation tools targets the largest supercomputers available and future exascale machines. We introduce PeleC, the compressible solver in the Pele suite, and detail its capabilities, including complex geometry representation, chemistry integration, and discretization. We present a comparison of development efforts using both OpenACC and AMReX’s C++ performance portability framework for execution on multiple GPU architectures. We discuss relevant details that have allowed PeleC to achieve high performance and scalability. PeleC’s performance characteristics are measured through relevant simulations on multiple supercomputers. The success of PeleC’s design for exascale is exhibited through demonstration of a 160 billion cell simulation and weak scaling onto 100% of Summit, an NVIDIA-based GPU supercomputer at Oak Ridge National Laboratory. Our results provide confidence that PeleC will enable future combustion science simulations with unprecedented fidelity.

Topics & Concepts

Computer scienceSuiteSoftware portabilitySupercomputerScalabilityExascale computingComputational scienceBenchmark (surveying)Parallel computingSolverPetascale computingAdaptive mesh refinementOperating systemHistoryGeographyGeodesyArchaeologyProgramming languageComputational Fluid Dynamics and AerodynamicsGas Dynamics and Kinetic TheoryCombustion and flame dynamics