课题基金 / 基金详情

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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2022-06-30

项目摘要

项目成果

Juan Montes的其他基金

相似基金

相关文献

中文摘要
翻译
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)能力。AMNH从事涉及天体物理学、人类学、生物学和地球科学的科学研究和教育活动。这项研究日益数据密集的性质要求更多地访问计算资源和更复杂的工具,包括本地和远程HPC集群。在此项目中,AMNH正在扩展其本地计算集群能力,并将所有现有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,这是一个专门为研究数据流设计的高性能网络,在Internet2和AMNH本地集群之间提供高速网络访问。此外,AMNH研究人员还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。INCOMMON联盟通过一个通用的身份验证和授权框架为AMNH研究人员和外部合作者提供了对这些资源的安全访问。最后,AMNH集群与开放科学网格集成,允许AMNH向更广泛的研究社区提供空闲计算周期,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能力,提高了他们研究的速度和效率,并减少了发现时间。此外,AMNH科学家的工作为博物馆的教育和策展项目提供信息,直接使AMNH学生和公众受益。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Research Infrastructure: CC* Data Storage: Multi-Petabyte Open Storage (MPOS) at the American Museum of Natural History
  • 批准号:
    2232857
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.82万
  • 财政年份:
    2022
  • 负责人:
    Juan Montes
  • 依托单位:
CC* Networking Infrastructure: High Performance Research Data Infrastructure at the American Museum of Natural History
  • 批准号:
    1827153
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.97万
  • 财政年份:
    2018
  • 负责人:
    Juan Montes
  • 依托单位:
海外基金