Cyberinfrastructure (CI) for NSF Large Facilities Workshop

NSF 大型设施研讨会的网络基础设施 (CI)

• 批准号: 1608742
• 负责人: Alexander Szalay
• 金额: $ 4.76万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-12-15 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1608742&HistoricalAwards=false
• 关键词: Cyberinfrastructure; CI; NSF; Large; Facilities

Many large experimental and observational facilities are deployed in diverse research fields from physics and materials science, to the biological sciences and geosciences, to astronomical science, ocean science, and engineering research. Large facilities engage in the collection, management and public distribution of massive scientific datasets that are expected remain be useful even beyond the lifetimes of the facilities themselves; and provide shared computational and analytic tools, as well as education and training related to these activities. Facility users also want to compare the large scale data to state-of-the-art simulations, which in turn can guide which future experiments to perform. To support these scientific missions and users, large facilities increasingly rely on national-scale cyberinfrastructure (CI), including high performance computing, advanced data platforms and analysis and visualization software infrastructure, and high-speed networking resources. There is increasing need for synergy between facilities and advanced CI resources, as emerging new technologies reshape the computational and data analysis environment and change the way scientific discovery is conducted.This project will support a two-day community workshop on Cyberinfrastructure for Large Facilities. The purpose of the workshop is to bring the members of both the facility and CI communities together, to consider the CI needs of facilities, explore how large facilities can collaborate better with developers of cyberinfrastructure to achieve their science missions and serve their users, exchange best practices and novel CI solutions, and start a planning process can lead to a sustainable resource and data ecosystem for large scale science that can respond to new emerging scientific needs and CI technologies. Desired outcomes also include inspiring new CI research and development activities that accelerate discovery across large scale science, and improving the connectedness of the national ecosystem of facilities and cyberinfrastructure in support of scientific discovery. This project was co-funded by several NSF directorates.

许多大型实验和观测设施部署在物理和材料科学、生物科学和地球科学、天文科学、海洋科学和工程研究等不同研究领域。 大型设施从事海量科学数据集的收集、管理和公共分发，预计这些数据集即使在设施本身的使用寿命结束后仍然有用；并提供共享的计算和分析工具，以及与这些活动相关的教育和培训。设施用户还希望将大规模数据与最先进的模拟进行比较，这反过来又可以指导未来进行哪些实验。为了支持这些科学任务和用户，大型设施越来越依赖国家规模的网络基础设施（CI），包括高性能计算、先进的数据平台以及分析和可视化软件基础设施以及高速网络资源。随着新兴技术重塑计算和数据分析环境并改变科学发现的进行方式，设施和先进 CI 资源之间的协同需求日益增长。该项目将支持为期两天的大型设施网络基础设施社区研讨会。研讨会的目的是将设施和 CI 社区的成员聚集在一起，考虑设施的 CI 需求，探讨大型设施如何与网络基础设施开发商更好地合作，以实现其科学使命并服务其用户，并进行最佳交流实践和新颖的 CI 解决方案，并启动规划流程，可以为大规模科学建立可持续的资源和数据生态系统，从而响应新出现的科学需求和 CI 技术。 期望的成果还包括激发新的 CI 研究和开发活动，加速大规模科学的发现，并改善国家设施和网络基础设施生态系统的连通性以支持科学发现。该项目由多个 NSF 理事会共同资助。