تقرير
An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition
العنوان: | An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition |
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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 |
الوصف غير متاح. |