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边缘科学已经变得非常数据密集型，因此今天无法存储和分析数TB的数据集(明天无法存储和分析PB的数据集)正日益限制科学进步。一个重要的、长期存在的问题，被费曼描述为经典物理学中最后一个未解决的问题，就是磁化和非磁化流体中的湍流。一个巨大的障碍是，湍流叶栅的内在物理发生在拉格朗日坐标系中，因此流体粒子必须在时间上追溯。这一要求在其他领域也是适用的，比如宇宙起源，在这些领域中，星系需要通过过去的遭遇来追溯。目前的研究项目将开发一种新的大规模数值模拟方法，几乎每个时间步骤都保存在数据库中，从而允许通过相对简单的计算进行后续分析，只需对大量数据进行分析。已经经过测试的新想法是避免将数据移动到计算节点的瓶颈，而是将低级的索引数据访问与直接在数据库中进行的处理相结合。这种方法允许在湍流问题上进行预期的新攻击，将前沿科学项目与未来模拟环境的演示相结合。它需要开发工具和程序，以多种格式组织数据，每种格式都适合于一种特定类型的统计分析，在数据库中运行或与数据库紧密结合。由此产生的对磁流体动力学湍流的理解将在整个天体物理学中产生广泛影响；将创建的新方法和具体工具将影响大多数科学领域。