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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)开发和发布一个科学计算的五年网络基础设施计划。在过去的十年里,CNU的研究能力和影响力大幅提高,但所使用的计算资源往往无法为更广泛的校园所用。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,并为整个大学的教职员工提供资源。与信息技术服务部门合作,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在CNU制定一项全面的科学计算基础设施计划,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通过向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是一所以本科生为主的机构,非常注重学生参与研究。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和数学模拟中的其他应用。通过这项工作支持的改进的网络基础设施,学生将有更多的机会从事研究,既扩大了我们对科学的理解的前沿,又探索了新兴技术的应用。通过CNU的几项倡议,特别支持和鼓励女性和代表性不足的学生参与这些研究机会。这一奖项反映了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
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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