CAREER: Discoveries in compressible turbulence and turbulent mixing through Petascale simulations and analysis

可压缩湍流以广泛的空间和时间尺度为特征，存在于许多自然(超新星爆炸、火山喷发、太阳风)和工程系统(商业和超音速飞行和推进、反应流)中。然而，由于它们的复杂性，我们对可压缩湍流的基本认识仍然非常有限，特别是在高雷诺数的情况下，这限制了我们预测自然现象和设计更好的工程设备的能力。这项研究只有通过网络基础设施推动计算流体动力学前沿的大规模模拟才能促进对可压缩湍流的认识。这些模拟在规模和细节上都是史无前例的，需要新的软件来高效地使用数十万个Petascale级别的处理器，并为更大规模的模拟铺平道路。重点是探索未来体系结构中可能存在的高级功能，包括通信库、编程模型和加速器。模拟揭示的巨大细节为研究人员提供了一个独特的机会，让他们了解长期存在的问题，如小规模普遍性、惯性范围尺度、间歇性和污染物的混合和扩散等基本上未被探索的领域。结果通过一个门户网站提供，社区可以通过该门户获取流场、统计数据和代码，并远程分析海量数据集。研究和教育在高性能计算(HPC)和流体力学之间的界面上集成。教育目标是(I)激励学生，包括那些来自代表不足的群体的学生，追求高性能混凝土和流体力学的职业生涯，以及(Ii)培养能够应用Petascale解决方案来解决重大社会和技术问题的未来学家和工程师。教育和研究活动通过课程创新、本科生研究和门户网站整合在一起，门户网站也用于向更广泛的受众传播成果。

ABSTRACTCompressible turbulent flows, characterized by a wide range of spatial and temporal scales,occur in many natural (supernovae explosions, volcanic eruptions, solar wind) and engineeringsystems (commercial and supersonic flight and propulsion, reacting flows). Due to their complexity,though, our fundamental understanding remains very limited, especially at high Reynolds numbers,restricting our ability to predict natural phenomena and design better engineering devices.This research advances the knowledge of compressible turbulence only possible through massivesimulations enabled by Cyberinfrastructure pushing, in turn, the frontiers of computational fluiddynamics. The simulations, unprecedented in size and detail, require novel software that efficientlyuses hundreds of thousands of processors at Petascale levels and set the path for simulations at evenlarger scales. The emphasis is in extreme parallelism exploring advanced features likely to existin future architectures including communication libraries, programming models and accelerators.The tremendous details unveiled by the simulations provide a unique opportunity for investigatorsto understand long-standing issues such as small-scale universality, inertial-range scaling, intermittency and largely unexplored areas such as mixing and dispersion of contaminants. Results aremade available through a portal which allows the community to obtain flow fields, statistics andcodes, and analyze massive datasets remotely.Research and education are integrated at the interface between high-performance computing(HPC) and fluid mechanics. The educational goal is to (i) inspire students, including those fromunderrepresented groups, to pursue careers in HPC and fluid mechanics, and (ii) educate futurescientists and engineers capable of deploying Petascale solutions to important societal and technological problems. Educational and research activities are integrated through curricular innovation,undergraduate research and the portal which is also used to disseminate results to a broader audience.