ITR - ASE - (int+sim): Exploring the Lagrangian Structure of Complex Flows with 100 Terabyte Datasets

ITR - ASE - (int sim)：利用 100 TB 数据集探索复杂流的拉格朗日结构

• 批准号: 0428325
• 负责人: Alexander Szalay
• 金额: $ 216.59万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0428325&HistoricalAwards=false
• 关键词: ITR; ASE; int+sim; Exploring; Lagrangian

AST-0428325VishniacCutting-edge science has become extremely data-intensive, and therefore the inability to store and analyze multi-Terabyte datasets today (and Petabytes tomorrow) is increasingly limiting scientific progress. One important, long-standing problem, described by Feynman as the last unsolved problem in classical physics, is turbulence in magnetized and unmagnetized fluids. A formidable obstacle is that the intrinsic physics of the turbulent cascade takes place in a Lagrangian frame, so that fluid particles must be tracked backward in time. This requirement holds true in other fields, such as cosmogenesis, where galaxies need to be tracked back through past encounters.The present research project will develop a new approach to large-scale numerical simulations, saving almost every time step in a database and thus permitting subsequent analysis by relatively simple computation, only over a lot of data. The new idea, which has already been tested, is to avoid the bottleneck of moving data to compute nodes, and instead combine low-level, indexed data access with processing that occurs right inside the database. This method permits the intended novel assault on the problem of turbulence, combining a forefront science project with a demonstration of the simulation environment of the future. It requires the development of tools and procedures to organize the data in multiple formats, each appropriate for a particular kind of statistical analysis, running either inside or closely integrated to the database.The resultant improved understanding of magneto-hydrodynamic turbulence will have a broad impact throughout astrophysics; and the new approach and concrete tools to be created will affect most areas of science.

AST-0428325VISHNIACCUTTING-EDGE科学已经变得非常密集，因此无法存储和分析今天的多Terabyte数据集（明天和明天的PB）越来越限制科学进步。 Feynman描述的一个重要的，长期存在的问题是经典物理学中的最后一个未解决的问题，是磁化和未磁性的流体中的湍流。 一个强大的障碍是湍流级联反应的内在物理发生在拉格朗日框架中，因此必须及时地向后跟踪流体颗粒。 这一要求在其他领域（例如宇宙发生）中是正确的，需要通过过去的相遇追踪星系。当前的研究项目将开发一种新的方法，用于大规模数值模拟，几乎每次保存数据库中的时间步骤，从而允许通过相对简单的计算进行后续分析，仅在大量数据上进行。 已经经过测试的新想法是避免瓶颈移动数据以计算节点，而是将低级索引数据访问与数据库内发生的处理相结合。 该方法允许对湍流问题进行预期的新攻击，将前沿科学项目与未来的模拟环境相结合。 它需要开发工具和程序以多种格式组织数据，每种形式适合于特定类型的统计分析，无论内部或与数据库密切集成。对磁流动力湍流的提高理解将在整个天体物理学中产生广泛的影响；新的方法和具体工具将影响科学的大多数领域。