论文标题

用于激光诱导的点火的集合模拟的集成异构计算框架

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

论文作者

Maeda, Kazuki, Teixeira, Thiago, Wang, Jonathan M., Hokanson, Jeffrey M., Melone, Caetano, Di Renzo, Mario, Jones, Steve, Urzay, Javier, Iaccarino, Gianluca

论文摘要

引入了一个集成的计算框架,通过基于物理的集合模拟在异质超级计算机上研究复杂的工程系统。该框架主要设计用于对火箭发动机激光诱导的点火开关的定量评估。我们开发并组合了一个隐式编程系统,可压缩的反应流求解器以及在健壮和便携式平台上的数据生成/管理策略。我们使用混合CPU/GPU机器上的测试问题系统地介绍此框架。求解器的效率,可伸缩性和准确性通过规范单位问题进行了全面评估。使用规范扩散火焰案例证明了集合数据管理和自动编码。使用简化的三维模型燃烧器对湍流,气态燃料射流点火的敏感性分析。我们的方法统一了计算机科学,物理和工程以及数据科学,以实现跨学科的工作流程。该框架是面向框架的,可以被视为现实世界系统的未来计算科学研究的基准。

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.

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