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对有史以来最大的宇宙学结构数值模拟之一的交互式访问。它的数据量接近 PB，它说明了正在出现的数据挑战——新的突破如何需要我们进行科学研究的方式进行非渐进式的改变。随着数据集的大小每年翻倍，传统的分析技术已不再足够。科学家需要一种新仪器，例如“数据显微镜”，即数据范围，可以查看大量数字数据中的细节和大规模特征。增加原始计算机能力是必要的，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 支持的研究旨在实现数据密集型计算分析方面的突破。 该特定科学重点关注银河系（太阳和太阳系的家园）的起源和演化这一引人注目的问题。了解我们在宇宙中的位置反过来将有助于深入了解神秘的“暗物质”的本质，这种物质的引力将银河系维系在一起，但人们对此知之甚少。该项目将创建一个可公开访问的“银河系实验室”，将银河系形成的最先进的计算机模拟的输出与恒星（如太阳）特性的最大观测数据集结合起来）在我们的银河系中，并提供回答超出任一数据集范围的问题的方法。公开的数据和开发的工具将使科学家能够以前所未有的规模进行自己的创新实验，这表明在当今的大学环境中解决拍字节规模的问题是可能的。该项目将为解决其他科学领域类似的数据密集型问题提供蓝图。国际团队由来自学术界（约翰霍普金斯大学和加州大学圣克鲁斯分校）和工业界的天文学家、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。该项目将使用 NSF 资助的 5.5 PB Data-Scope 系统，该系统正在约翰·霍普金斯大学建设中，这是一个独特的数据密集型环境，旨在进行类似银河系实验室的实验。 Data-Scope 将位于 JHU 的一个新计算设施，由 NSF ARRA 拨款资助。