MRI: Development of Data-Scope - A Multi-Petabyte Generic Data Analysis Environment for Science

MRI：Data-Scope 的开发 - 多 PB 通用科学数据分析环境

• 批准号: 1040114
• 负责人: Alexander Szalay
• 金额: $ 208.78万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1040114&HistoricalAwards=false
• 关键词: MRI; Development; Data; Scope; Multi

1040114SzalayThis award funds the development and deployment of the Data-Scope, a computational instrument specifically designed to enable data analysis tasks that are simply not possible today. The instrument?s unprecedented capabilities combine approximately five Petabytes of storage with a sequential IO bandwidth close to 500GBytes/sec, and 600 Teraflops of GPU computing.The need to keep acquisition costs and power consumption low, while maintaining high performance and storage capacity introduces difficult tradeoffs. The Data-Scope will provide extreme data analysis performance over PB-scale datasets at the expense of generic features such as fault tolerance and ease of management. This is however acceptable since the Data-Scope is a research instrument rather than a traditional computational facility.

1040114Szalay 该奖项资助 Data-Scope 的开发和部署，这是一种专门设计用于实现当今根本不可能完成的数据分析任务的计算仪器。该仪器前所未有的功能结合了大约 5 PB 的存储、接近 500GB/秒的顺序 IO 带宽以及 600 Teraflops 的 GPU 计算。需要保持较低的采购成本和功耗，同时保持高性能和存储容量，这带来了困难权衡。 Data-Scope 将为 PB 级数据集提供极致的数据分析性能，但会牺牲容错和易于管理等通用功能。然而，这是可以接受的，因为 Data-Scope 是一种研究工具而不是传统的计算设施。