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CC* Planning: Developing a Plan to Improve Research Computing at Christopher Newport University

CC* Planning: Developing a Plan to Improve Research Computing at Christopher Newport University
CC* 规划:制定改进克里斯托弗纽波特大学研究计算的计划
批准号:
2322199
负责人:
William Phelps
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-08-01 至 2024-07-31

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中文摘要
翻译
该项目的目标是在克里斯托弗纽波特大学(CNU)制定和发布一个为期五年的科学计算网络基础设施计划。在过去的十年中,CNU大大提高了其研究能力和影响力,但所使用的计算资源往往无法进入更广泛的校园。需要一个统一的计算计划,其中包括创建一个科学计算集群,以支持CNU的研究计划,并为整个大学的教师提供资源。在与IT服务的合作中,我们正在确定满足研究需求所需的计算资源,并估计支持这些资源所需的基础设施。该项目的最终目标是为CNU的综合科学计算基础设施制定一项计划,该计划将支持现有的研究,使研究人员能够扩展到新的领域,并允许CNU通过为开放科学网格提供新的资源来为国家网络基础设施做出贡献。 CNU是一个主要的本科机构,有一个显着的重点是学生参与研究。大量使用计算资源的研究领域包括实验核物理、引力波天文学、自然语言处理、人工智能在数据科学中的其他应用以及数学模拟。通过这项工作支持的改进的网络基础设施,学生将有显着改善的机会,从事研究,既扩大了我们对科学的理解前沿,并探索使用新兴技术。通过CNU的几项举措,妇女和代表性不足的学生得到特别支持和鼓励,参与这些研究机会。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值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
The aims of this project are to develop and publish a five-year cyberinfrastructure plan for scientific computing at Christopher Newport University (CNU). The past decade has seen CNU dramatically increase its research capabilities and impact, however the computing resources used are often not accessible to the wider campus. A unified computing plan, which includes the creation of a scientific computing cluster, is needed to support CNU’s research programs and to provide resources to faculty across the university. In collaboration with IT services, we are identifying the computing resources necessary to meet research needs and estimating the infrastructure required to support those resources. The end goal of this project is to develop a plan for comprehensive scientific computing infrastructure at CNU that will support existing research, enable researchers to expand into new fields, and allow CNU to contribute to national cyberinfrastructure by providing new resources to the Open Science Grid. CNU is a primarily undergraduate institution that has a significant focus on student involvement in research. Research areas that are heavy users of computational resources include experimental nuclear physics, gravitational wave astronomy, natural language processing, other applications of artificial intelligence to data science, and mathematical simulation.Through the improved cyberinfrastructure supported by this work, students will have significantly improved opportunities to engage in research that both expands the forefront of our understanding of science and explores the use of emerging technologies. Women and underrepresented students are specifically supported and encouraged to engage in these research opportunities through several CNU's initiatives.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.
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