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

建议编号：OCI-0749223/0749209/0749235/0749286主要研究员：P-K YEUNGING研究：佐治亚理工学院合作研究：通过先进的Petascale模拟和分析工具发现高雷诺数湍流这项研究将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的开放源代码开发建立一个新的标准，从而推动高雷诺数湍流流动的科学研究。科学的重点是在最好的网格分辨率和尽可能高的雷诺数下对均匀湍流和具有一个空间不均匀方向的非均匀湍流进行模拟。先进计算的元素将包括域分解技术，该技术可扩展到拥有100万个或更多处理器的未来Petascale系统，利用先进的硬件功能实现高节点级性能，以及增强超大型数据集的存储和分析能力。研究界将开放获取代码和数据。湍流的特征是时空尺度上的无序波动，是一个极其复杂的问题，具有重要的社会和技术意义。直接数值模拟(DNS)是Petascale计算的理想应用，其中根据精确的守恒方程计算涨落，因为需要这种复杂性的计算来解决大范围的空间和时间尺度，并且因为DNS数据的高可靠性使得这种资源投资是值得的。为了实现Petascale域名系统(PSDNS)，将开发一套强大、灵活和可扩展的开源软件，用于分析不超过一个空间不均匀方向的流动的结果数据。PSDNS套件基于由PIS开发的高度可扩展的组件，将进一步开发以实现极端并行性。新的软件将执行许多高雷诺数的解析，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各个领域产生重要发现，包括湍流弥散中的间歇性，壁面湍流中的高雷诺数重叠层，以及湍流反应流中的局部熄火和重燃。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。史无前例的雷诺数将影响科学、工程、社会和在污染物混合和扩散、运输车辆的设计和阻力以及燃烧过程中的效率和污染等领域的竞争力。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方面的教育。它将通过模拟开发的材料影响流体力学和湍流方面的教学。最后，所有这些都将在鼓励代表不足的群体在各级参与的同时进行。

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.