An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition

التفاصيل البيبلوغرافية
العنوان: An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition
المؤلفون: Maeda, Kazuki, Teixeira, Thiago, Wang, Jonathan M., Hokanson, Jeffrey M., Melone, Caetano, Di Renzo, Mario, Jones, Steve, Urzay, Javier, Iaccarino, Gianluca
سنة النشر: 2022
المجموعة: Computer Science
Physics (Other)
مصطلحات موضوعية: Computer Science - Computational Engineering, Finance, and Science, Computer Science - Distributed, Parallel, and Cluster Computing, Physics - Data Analysis, Statistics and Probability, Physics - Fluid Dynamics
الوصف: An integrated computational framework is introduced to study complex engineering systems through physics-based ensemble simulations on heterogeneous supercomputers. The framework is primarily designed for the quantitative assessment of laser-induced ignition in rocket engines. We develop and combine an implicit programming system, a compressible reacting flow solver, and a data generation/management strategy on a robust and portable platform. We systematically present this framework using test problems on a hybrid CPU/GPU machine. Efficiency, scalability, and accuracy of the solver are comprehensively assessed with canonical unit problems. Ensemble data management and autoencoding are demonstrated using a canonical diffusion flame case. Sensitivity analysis of the ignition of a turbulent, gaseous fuel jet is performed using a simplified, three-dimensional model combustor. Our approach unifies computer science, physics and engineering, and data science to realize a cross-disciplinary workflow. The framework is exascale-oriented and can be considered a benchmark for future computational science studies of real-world systems.
Comment: 28 pages, 12 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2202.02319
رقم الأكسشن: edsarx.2202.02319
قاعدة البيانات: arXiv