CDI-Type II: Database enabled multiscale simulations and analysis of fluid turbulence

为了在理解和模拟多尺度、复杂的流体流动现象（如湍流）方面取得重大的新进展，模拟现象的整个4-D结构必须广泛、容易地访问。为了实现这些目标，拟议的项目旨在将数据库技术与高性能计算相结合。具体而言，我们将：㈠开发储存基础设施，通过调整和改进最近的可视化、数据库组织和储存结构研究的技术，为所有规模的存档模拟数据提供高效的并行输入/输出。(ii)构建一个数据驱动的批处理框架，支持许多并发的数据密集型查询。(iii)开发工具来查找数据中的“有趣区域”，提取各种特征，并使用相关元数据标记这些区域。(iv)开发在因特网上进行交互式可视化的工具，以便能够以显示分辨率访问数据，查询可能要求任意子区域。几个核心数据库将作为拟议研究的内容：（i）强迫各向同性湍流，以解决湍流的多尺度和拉格朗日结构的基本未解决问题，（ii）工程流体动力学感兴趣的大湍流槽道流，（iii）与天体物理相关的磁流体动力学（MHD）湍流的模拟，和（iv）与风能有关的大气边界层的24小时日循环，包括白天的浮力条件和夜间的稳定分层条件。 通过将数据库方法与高性能科学模拟紧密耦合，该项目有可能改变多尺度现象科学计算研究的方式。如果我们的方法被证明是成功的，它将成为常规的国家的最先进的计算数据集被存档在数据库中，易于在线访问，灵活的用户友好的分析工具，并与进一步的模拟有效耦合。我们将应用开发的工具来研究各种重要的流体流动现象，如中性流体，等离子体和大气中的湍流和混沌运动。

To make significant new progress in the understanding and modeling of multi-scale, complex fluid flow phenomena such as turbulence, the entire 4-D structure of the simulated phenomena must be widely, and easily, accessible. To achieve such goals, the proposed project aims to couple database technology with high performance computing. Specifically, we will: (i) Develop a storage infrastructure that provides efficient parallel I/O to archived simulation data at all scales by adapting and improving techniques from recent visualization, database organization and storage architecture research. (ii) Construct a data-driven batch-processing framework that supports many concurrent data-intensive queries. (iii) Develop tools to find "interesting regions" in the data, extract various features, and tag those regions with the relevant metadata. (iv) Develop tools for interactive visualization over the Internet so that data are accessible at display resolution with queries that may request arbitrary sub-regions. Several core databases will serve as content for the proposed research: (i) forced isotropic turbulent flow to address fundamental unsolved questions on the multi-scale and Lagrangian structure of turbulent flow, (ii) a large turbulent channel flow, of interest to engineering fluid dynamics, (iii) simulations of magneto-hydrodynamic (MHD) turbulence of astrophysical relevance, and (iv) a 24-hr daily cycle of the atmospheric boundary layer including day-time buoyant conditions and night-time stably stratified conditions, of relevance to wind energy. By tightly coupling the database approach to high-performance scientific simulation, the project has the potential to transform the way research in scientific computing of multi-scale phenomena is carried out and employed. If our approach proves successful, it will become routine for state-of-the-art computational datasets to be archived in databases with easy on-line access, flexible user-friendly analysis tools, and efficient coupling with further simulations. We will apply the tools to be developed to study various important fluid flow phenomena, such as turbulent and chaotic motions in neutral fluids, in plasmas, and in the atmosphere.