CC* Compute: High Performance Campus Computing for Institutional Research at the American Museum of Natural History

CC* 计算：美国自然历史博物馆机构研究的高性能校园计算

• 批准号: 1925590
• 负责人: Juan Montes
• 金额: $ 39.93万
• 依托单位: American Museum Natural History
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925590&HistoricalAwards=false
• 关键词: CC; Compute; Performance; Campus; Computing

Through the National Science Foundation CC* program, the American Museum of Natural History (AMNH) expands the High-Performance Computing (HPC) capabilities that directly support the Museum's research. AMNH conducts scientific research and educational activities across astrophysics, anthropology, biology, and geosciences. The increasingly data-intensive nature of this research requires greater access to computational resources and to ever more sophisticated tools, including local and remote HPC clusters.In this project, AMNH is expanding its on-premise computing cluster capacity and consolidating all existing clusters into a unified open-source software framework. These clusters are connected to the Museum's Science DMZ, a high-performance network specifically designed for research data flows, which provides high-speed network access between the Internet2 and the AMNH on-premise clusters. Additionally, AMNH researchers can execute complex workloads at scale using cloud resources at Amazon via the same local HPC management framework. Federation with InCommon provides both AMNH researchers and outside collaborators with secure access to these resources via a common authentication and authorization framework. Finally, the AMNH clusters are integrated with the Open Science Grid allowing AMNH to offer idle computing cycles to the wider research community while providing AMNH researchers with the same access to remote computing resources. These improvements greatly expand the overall HPC capacity available to AMNH scientists, increasing the speed and effectiveness of their research and decreasing time to discovery. Additionally, the work of AMNH scientists informs the Museum's educational and curatorial programs, directly benefiting AMNH students and the public.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

通过国家科学基金会CC* 计划，美国自然历史博物馆（AMNH）扩展了直接支持博物馆研究的高性能计算（HPC）功能。AMNH在天体物理学，人类学，生物学和地球科学领域开展科学研究和教育活动。这项研究的数据密集性越来越高，需要更多的计算资源和更复杂的工具，包括本地和远程HPC集群。在这个项目中，AMNH正在扩展其内部部署计算集群的容量，并将所有现有的集群整合到一个统一的开源软件框架中。这些集群连接到博物馆的科学DMZ，这是一个专为研究数据流设计的高性能网络，可在Internet 2和AMNH内部集群之间提供高速网络访问。此外，AMNH研究人员可以通过相同的本地HPC管理框架，使用Amazon的云资源大规模执行复杂的工作负载。与InCommon的联合为AMNH研究人员和外部合作者提供了通过公共身份验证和授权框架安全访问这些资源的机会。最后，AMNH集群与开放科学网格集成，使AMNH能够为更广泛的研究社区提供空闲的计算周期，同时为AMNH研究人员提供对远程计算资源的相同访问。这些改进极大地扩展了AMNH科学家可用的总体HPC容量，提高了他们研究的速度和有效性，并缩短了发现时间。此外，AMNH科学家的工作通知博物馆的教育和策展计划，直接受益AMNH的学生和公众。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。