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主要研究者：P-K YEUNG机构：格鲁吉亚理工学院合作研究：通过用于千倍尺度模拟和分析的先进工具实现高雷诺数湍流的发现这项研究将推进高雷诺数下湍流流体流动的科学，通过充分利用新兴的Petascale计算能力来解决一些重要的研究问题，同时为CFD中的开源代码开发设定了新的标准。科学的重点是在最好的网格分辨率和最高的雷诺数可能的模拟，均匀湍流和非均匀湍流与一个方向的空间不均匀性。高级计算的元素将包括域分解技术，这些技术可扩展到未来的Petascale系统，具有百万处理器或更多，利用高级硬件功能实现高节点级性能，以及增强存储和分析超大数据集的能力。将向研究界开放代码和数据。湍流的特点是在时间和空间的大范围尺度上的无序波动，是一个非常复杂的社会和技术重要性的问题。直接数值模拟（DNS），其中波动计算根据精确的守恒方程是一个理想的应用Petascale计算，因为这种复杂性的计算需要解决广泛的空间和时间尺度，因为DNS数据的高可靠性使得这样的资源投资是值得的。为了启用PetaScale DNS（PSDNS），将开发一个功能强大、灵活且可扩展的开源软件套件，用于分析结果数据，以处理不超过一个空间不均匀方向的流。PSDNS套件以PI开发的高度可扩展组件为基础，将进一步开发以实现极端并行。新的软件将执行许多高雷诺数DNS，以回答湍流研究中的紧迫问题。这些模拟和分析将在湍流研究的不同领域产生重要的发现，包括湍流分散中的不稳定性，壁湍流中的高雷诺数重叠层，以及湍流反应流中的局部熄灭和重燃。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。DNS在前所未有的雷诺数将影响科学，工程，社会和竞争力等领域的污染物的混合和分散，运输车辆的设计和阻力，以及燃烧过程中的效率和污染。这项活动还将通过开发基于这些Petascale软件开发的材料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，所有这些工作都将在鼓励代表性不足的群体参与各级工作的同时进行。

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.