SAVI: GECAT-Global Initiative to Enhance Collaborative Computing and Analysis Tools

SAVI：GECAT-增强协作计算和分析工具的全球倡议

• 批准号: 1440733
• 负责人: William Kramer
• 金额: $ 200万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440733&HistoricalAwards=false
• 关键词: SAVI; GECAT; Global; Initiative; Enhance

Major scientific research initiatives and enterprises are global in nature, requiring national cyberinfrastructure capabilities to not only be interoperable worldwide but to be designed to support collaborations spanning national boundaries. Collective knowledge and skills of teams is increasingly required to solve the key technical and scientific issues facing us today. In order to realize continued scientific discovery in the United States, international collaboration in interoperable forms of large-scale distributed computing, access to remote data, development of collaboration technologies and skill sets are required. Many scientific projects are international in scope, necessitating collaboration across borders, including the coordination of resources . International collaborations to construct telescopes with associated virtual observatories (such as LSST, DES and SKA), particle detectors (such as ATLAS and CMS for the Large Hadron Collider), climate (IPCC) and biological and environmental data repositories are already underway. This project supports international virtual research organizations (IVROs) that promote and enable efficient collaboration and co-operation of researchers and developers in multiple countries. It aims to seed the development of new, innovative cyberinfrastructure features enabling international scientific collaboration for scientific advances. It builds on existing relationships and activities previously established by the PIs and institution. The project directly supports the participation of multiple U.S .participants (senior and junior faculty, postdoctoral fellows, graduate students) in workshops, and to interact, communicate, and collaborate in small research and development "seed" projects with international partners from multiple countries in Europe and Asia. The project provides an annual series of forums for publicly sharing cutting-edge research, education and training experiences covering all aspects of cyberinfrastructure, including distributed data management, system resilience, performance issues with scaling, efficient mechanisms for training and support. The project focuses on the development and study of strong International Virtual Research Organizations promoting interoperability of national cyberinfrastructures for international research. These IVROs are intended to facilitate defining and developing strategies and action plans for collaborative projects, and activities leading to the availability of high end middleware tools, and interoperability of national cyberinfrastructures for addressing and resolving grand science challenges through advancing cyberinfrastructure and computational science.This is designated as a Science Across Virtual Institutes (SAVI) award and is co-funded by NSF's Office of International and Integrative Activities and the Directorate for Computer and Information Science and Engieering.

重大科学研究举措和企业本质上是全球性的，要求国家网络基础设施能力不仅能够在全球范围内互操作，而且能够支持跨越国界的合作。解决我们当今面临的关键技术和科学问题越来越需要团队的集体知识和技能。 为了在美国实现持续的科学发现，需要在大规模分布式计算的可互操作形式、远程数据访问、协作技术和技能集的开发方面进行国际合作。 许多科学项目都是国际范围的，需要跨境合作，包括资源协调。建造望远镜以及相关虚拟天文台（如 LSST、DES 和 SKA）、粒子探测器（如用于大型强子对撞机的 ATLAS 和 CMS）、气候 (IPCC) 以及生物和环境数据存储库的国际合作已经在进行中。该项目支持国际虚拟研究组织（IVRO），促进和实现多个国家的研究人员和开发人员的高效协作和合作。它旨在培育新的、创新的网络基础设施功能的开发，从而实现国际科学合作以促进科学进步。它建立在 PI 和机构先前建立的现有关系和活动的基础上。 该项目直接支持多名美国参与者（高级和初级教师、博士后、研究生）参加研讨会，并与来自多个国家的国际合作伙伴在小型研发“种子”项目中进行互动、交流和合作。欧洲和亚洲。该项目提供了一系列年度论坛，公开分享前沿研究、教育和培训经验，涵盖网络基础设施的各个方面，包括分布式数据管理、系统弹性、扩展性能问题、有效的培训和支持机制。 该项目的重点是发展和研究强大的国际虚拟研究组织，促进国际研究的国家网络基础设施的互操作性。 这些 IVRO 旨在促进定义和制定合作项目的战略和行动计划，以及导致高端中间件工具的可用性和国家网络基础设施的互操作性的活动，以通过推进网络基础设施和计算科学来应对和解决重大科学挑战。该奖项被指定为跨虚拟研究所科学 (SAVI) 奖，由 NSF 国际和综合活动办公室以及计算机和信息科学与工程理事会共同资助。