MRI: Cluster Computing for Artificial Intelligence-Enabled Data Analytics and Earth Systems Modeling

MRI：用于人工智能数据分析和地球系统建模的集群计算

• 批准号: 2019042
• 负责人: Richard Clark
• 金额: $ 33.19万
• 依托单位: Millersville University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019042&HistoricalAwards=false
• 关键词: MRI; Cluster; Computing; Artificial; Intelligence

This award will provide a computer cluster to Millersville University who will use it to integrate new computational techniques and apply them to scientific questions that have relevance over a broad range of environmental and human problems. The cluster will also provide balance to the education and training of students in the Department of Earth Sciences at Millersville University which has a strong observational research background.A 16-blade server and GPU node will be acquired and installed in the existing university data center. The research team identifies multiple uses for the cluster, including weather modeling for agriculture and road weather, using numerical models to understand coronal magnetic ejections and the plasma environment, linking agricultural runoff to hypoxia events in the Chesapeake Bay, and determining the links between small-scale geologic structures and subsurface fluid flow in sedimentary basins.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.

该奖项将提供一个计算机集群，以米勒斯维尔大学谁将使用它来整合新的计算技术，并将其应用到科学问题，有广泛的环境和人类问题的相关性。 该集群还将为米勒斯维尔大学地球科学系的学生提供教育和培训，该大学具有强大的观测研究背景。 研究小组确定了该集群的多种用途，包括农业和道路天气的天气建模，使用数值模型来了解日冕磁喷射和等离子体环境，将农业径流与切萨皮克湾的缺氧事件联系起来，并确定小-规模地质结构和沉积盆地地下流体流动。这个奖项反映了NSF的法定使命，并已被认为是值得支持的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。