PeleC: An adaptive mesh refinement solver for compressible reacting flows
| العنوان: | PeleC: An adaptive mesh refinement solver for compressible reacting flows |
|---|---|
| المؤلفون: | Marc T Henry de Frahan, Jon S Rood, Marc S Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A Perry, Ray W Grout, Ann Almgren, Weiqun Zhang, John B Bell, Jacqueline H Chen |
| المصدر: | The International Journal of High Performance Computing Applications. :109434202211211 |
| بيانات النشر: | SAGE Publications, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Hardware and Architecture, Software, Theoretical Computer Science |
| الوصف: | 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. |
| تدمد: | 1741-2846 1094-3420 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5f89d1cc69ab3e93857c3d67d291e66d https://doi.org/10.1177/10943420221121151 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........5f89d1cc69ab3e93857c3d67d291e66d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17412846 10943420 |
|---|