Collaborative Research: Enabling Discovery in High Reynolds Number Turbulence via Advanced Tools for Petascale SImulation and Analysis

提案编号：OCI - 0749223/0749209/0749235/0749286 主要研究员：P-K YEUNGINSTITUTION：佐治亚理工学院合作研究：通过先进工具实现高雷诺数湍流的发现Petascale 模拟和分析这项研究将充分利用新兴的 Petascale 计算能力来解决许多重要的研究问题，同时为 CFD 开源代码开发制定新标准，从而推进高雷诺数湍流流体流动的科学发展。科学重点是以最精细的网格分辨率和最高的雷诺数进行模拟，以模拟具有一个空间不均匀方向的均匀湍流和非均匀湍流。高级计算的要素将包括域分解技术，可扩展到具有数百万个或更多处理器的未来 Petascale 系统、利用先进硬件功能的高节点级性能以及增强的超大数据集存储和分析能力。将为研究界提供代码和数据的开放访问。湍流的特点是在时间和空间的大范围内无序波动，是一个非常复杂且具有社会和技术重要性的问题。直接数值模拟 (DNS) 根据精确的守恒方程计算波动，是 Petascale 计算的理想应用，因为需要这种复杂性的计算来解析广泛的空间和时间尺度，而且 DNS 数据的高可靠性使得这种资源投资是值得的。为了启用 PetaScale DNS (PSDNS)，我们将开发一套功能强大、灵活且可扩展的开源软件套件，用于分析结果数据，适用于空间不均匀方向不超过一个的流。 PSDNS 套件基于 PI 开发的高度可扩展组件，将进一步开发以实现极端并行性。新软件将执行许多高雷诺数 DNS 来回答湍流研究中的紧迫问题。这些模拟和分析将为湍流研究的各个领域带来重要发现，包括湍流弥散的间歇性、壁湍流中的高雷诺数重叠层以及湍流反应流中的局部消光和重燃。这项研究将通过湍流研究和计算科学的进步产生广泛的社会和经济影响。前所未有的雷诺数 DNS 将影响科学、工程、社会和污染物混合和扩散、运输车辆的设计和拖动以及燃烧过程的效率和污染等领域的竞争力。这项活动还将通过基于这些 Petascale 软件开发的材料的开发来影响高性能计算的教育。它将通过模拟开发的材料影响流体力学和湍流的教育。最后，所有这一切都将在鼓励代表性不足的群体在各个层面参与的同时进行。

PROPOSAL NO.: OCI - 0749223/0749209/0749235/0749286 PRINCIPAL INVESTIGATOR: P-K YEUNGINSTITUTION: Georgia Institute of TechnologyCOLLABORATIVE RESEARCH: ENABLING DISCOVERY IN HIGH REYNOLDS NUMBER TURBULENCE VIA ADVANCED TOOLS FOR PETASCALE SIMULATION AND ANALYSISThis research will advance the science of turbulent fluid flow at high Reynolds number, by taking full advantage of emerging Petascale computing capabilities to address a number of important research questions, while setting a new standard for open-source code development in CFD. The science emphasis is on simulations at the finest grid resolution and highest Reynolds number possible, for homogeneous turbulence and inhomogeneous turbulence with one direction of spatial inhomogeneity. Elements of advanced computing will include domain decomposition techniques that scale to future Petascale systems with on million processors or more, high node-level performance making use of advanced hardware features, and enhanced capacity for storage and analysis of very large datasets. Open access to both codes and data will be provided for the research community. Turbulence is characterized by disorderly fluctuations over a wide range of scales in time and space, and is a problem of great complexity and societal and technological importance. Direct numerical simulations (DNS), in which fluctuations are computed according to exact conservation equations is an ideal application for Petascale computation, since computations of this complexity are needed to resolve the wide range of spatial and temporal scales, and because the high reliability of DNS data makes such a resource investment worthwhile. To enable PetaScale DNS (PSDNS), a powerful, flexible and extensible open-source suite of software analyzing the resulting data, for flows with no more than one direction of spatial inhomogeneity will be developed. The PSDNS suite, based on highly scalable components developed by the PIs, will be further developed for extreme parallelism. New software will perform many high Reynolds number DNS to answer pressing questions in turbulence research. These simulations and analyses will yield critical discoveries in diverse areas of turbulence research, including intermittency in turbulent dispersion, the high Reynolds number overlap layer in wall-turbulence, and local extinction and reignition in turbulent reacting flows. This research will have broad societal and economic impact through advances in turbulence research and computational science. DNS at unprecedented Reynolds numbers will impact science, engineering, society and competitiveness in such areas as mixing and dispersal of pollutants, design and drag of transportation vehicles, and efficiency and pollution in combustion processes. This activity will also impact education in high performance computing through development of materials based on these Petascale software developments. It will impact education in fluid mechanics and turbulence through materials developed from the simulations. Finally, all of this will be performed while encouraging participation at all levels by under-represented groups.