Collaborative Research: CDI- Type II: Towards Analyzing Complex Petascale Datasets: The Milky Way Laboratory

合作研究：CDI-II 型：分析复杂千万亿次数据集：银河系实验室

• 批准号: 1124403
• 负责人: Alexander Szalay
• 金额: $ 114万
• 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: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1124403&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; Type; II

The Milky Way Laboratory will create interactive access to one of the largest numerical simulations of cosmological structure ever created. With its data volume close to a petabyte, it illustrates the emerging data challenge -- how new breakthroughs require non-incremental changes in the way we do science. As datasets are doubling in size every year, traditional analysis techniques are no longer adequate. Scientists need a new instrument, like a "microscope of data", a data-scope, that can look at both the details and the large-scale features in the mountains of digital data. Increased raw computer power is necessary, but not enough -- we also need to use new computational thinking to develop the new approaches needed. The NSF-supported research aims to achieve such a breakthrough in data-intensive computational analysis. The particular science focuses on the compelling question of the origin and evolution of the Milky Way Galaxy, the home of the Sun and our solar system. Understanding our place in the Universe will in turn lead to insight into the nature of the enigmatic 'dark matter', the substance whose gravity holds the Milky Way together, but about which little is known. The project will create a publicly accessible 'Milky Way Laboratory' that will combine the output of the largest state-of-the-art computer simulations of the formation of the Milky Way with the largest observational datasets of the properties of stars (like the Sun) in our Galaxy, and provide the means to answer questions that go beyond the scope of either dataset. The publicly accessible data and the tools developed will enable scientists to run their own innovative experiments at unprecedented scales, demonstrating that it is possible to tackle problems on the petabyte scale in a university setting today. The project will provide a blueprint to address similar data-intensive problems in other areas of science.The international team consists of astronomers, particle physicists and computer scientists from academia (Johns Hopkins and UC Santa Cruz) and industry to accomplish its ambitious goals. The project will be using the NSF-funded 5.5-petabyte Data-Scope system, under construction at the Johns Hopkins University, a unique data-intensive environment designed to carry out experiments like the Milky Way Laboratory. The Data-Scope will be located at a new computational facility at JHU, funded by an NSF ARRA grant.

银河系实验室将创建交互式访问有史以来最大的宇宙结构数值模拟之一。由于其数据量接近PB，它说明了新兴的数据挑战 - 新的突破如何要求我们进行科学的方式进行无额外的变化。由于数据集的规模每年增加一倍，因此传统分析技术不再足够。科学家需要一种新的仪器，例如“数据显微镜”，即数据范围，可以研究数字数据山上的细节和大规模特征。提高原始计算机功率是必要的，但还不够 - 我们还需要使用新的计算思维来开发所需的新方法。 NSF支持的研究旨在在数据密集型计算分析中取得突破。 特定的科学重点是关于银河系的起源和演变的引人入胜的问题，银河系，太阳的家和我们的太阳系。理解我们在宇宙中的地位反过来将导致人们对神秘的“暗物质”的本质，这种物质的重力融合在一起，但对此知之甚少。该项目将创建一个公开访问的“银河系实验室”，将结合最大的最先进的计算机模拟，以形成银河系的形成以及我们银河系中星星特性（如太阳）的最大观测数据集，并提供回答超出两个数据集范围的问题的手段。公开访问的数据和开发的工具将使科学家能够以前所未有的量表进行自己的创新实验，这表明今天有可能在今天的大学环境中解决PETABYTE量表的问题。该项目将提供蓝图，以解决其他科学领域的类似数据密集型问题。国际团队由学术界（约翰·霍普金斯和加州大学圣克鲁斯加州大学）和行业的天文学家，粒子物理学家和计算机科学家组成，以实现其雄心勃勃的目标。该项目将在约翰·霍普金斯大学（Johns Hopkins University）建造的NSF资助的5.5-Petabyte Data-Scope系统，这是一个独特的数据密集型环境，旨在进行银河系实验室等实验。数据范围将位于JHU的新计算设施，由NSF ARRA赠款资助。