CC* Compute: High-Memory Compute Resources for Maine

CC* 计算：缅因州的高内存计算资源

• 批准号: 2018851
• 负责人: Stephen Cousins
• 金额: $ 39.98万
• 依托单位: University of Maine
• 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 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018851&HistoricalAwards=false
• 关键词: CC; Compute; Memory; Resources; Maine

Maine researchers are advancing the state of the art in areas including landslide prediction, hydrodynamic modelling, fluid-structure interaction and modelling the electro-chemical properties of organic molecules. Strong, scientifically compelling investigations have previously been hampered or stalled by the lack of adequate computational resources. This project advances research at the University of Maine in two ways through the addition of approximately 1000 processing cores in high RAM nodes along with a growth in CEPH disk storage. It enables research to move forward in areas such as landslide prediction, coastal modelling, DNA sequencing from single strands of DNA, and high resolution modeling of the cardiovascular system. It facilitates an increase in collaboration with the Eastern Regional Network, the Open Science Grid, the Open Storage Network, and with other institutions, particularly other EPSCoR sites in the Northeast. Data and code from this grant is disseminated to the public through tools such as github and EarthCube. The increase in computational resources as a result of this project allows opportunities for undergraduate and graduate students to engage in state-of-the-art numerical modeling. By having these new resources to meet the needs of researchers, previously existing resources are utilized to offer courses for which there was not previously the capacity. Thus the instrumentation advances research and also enables the project team to better train the next generation of scientists and engineers. The research projects facilitated by this cluster all include plans to distribute, and visualize model output for relevant stakeholders.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.

缅因州的研究人员正在推进滑坡预测、流体动力学建模、流体-结构相互作用和有机分子电化学特性建模等领域的最新技术。此前，由于缺乏足够的计算资源，强有力的、具有科学说服力的研究受到阻碍或停滞。该项目通过在高 RAM 节点中添加大约 1000 个处理核心以及增加 CEPH 磁盘存储，以两种方式推进缅因大学的研究。它使滑坡预测、海岸建模、单链 DNA 测序以及心血管系统高分辨率建模等领域的研究取得进展。它促进了与东部区域网络、开放科学网格、开放存储网络以及其他机构（特别是东北部其他 EPSCoR 站点）的合作。这笔资助的数据和代码通过 github 和 EarthCube 等工具向公众传播。该项目带来的计算资源的增加为本科生和研究生提供了参与最先进的数值建模的机会。通过使用这些新资源来满足研究人员的需求，以前现有的资源可以用来提供以前没有能力的课程。因此，仪器可以推进研究，并使项目团队能够更好地培训下一代科学家和工程师。该集群推动的研究项目都包括为相关利益相关者分发和可视化模型输出的计划。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The impact of oyster aquaculture on the estuarine carbonate system

牡蛎养殖对河口碳酸盐系统的影响

• DOI: 10.1525/elementa.2020.00057
• 发表时间: 2022
• 期刊: Elementa: Science of the Anthropocene
• 作者: Liberti, Catherine M.;Gray, Matthew W.;Mayer, Lawrence M.;Testa, Jeremy M.;Liu, Wei;Brady, Damian C.
• 通讯作者: Brady, Damian C.

Nonlinear elastic analysis of 2D materials of arbitrary symmetries with application to black phosphorus

• DOI: 10.1016/j.mechmat.2021.104159
• 发表时间: 2021-12
• 期刊: Mechanics of Materials
• 影响因子: 3.9
• 作者: Serge R. Maalouf;S. Vel

Recipes for the Derivation of Water Quality Parameters Using the High-Spatial-Resolution Data from Sensors on Board Sentinel-2A, Sentinel-2B, Landsat-5, Landsat-7, Landsat-8, and Landsat-9 Satellites

使用 Sentinel-2A、Sentinel-2B、Landsat-5、Landsat-7、Landsat-8 和 Landsat-9 卫星上传感器的高分辨率数据推导水质参数的方法

• DOI: 10.34133/remotesensing.0049
• 发表时间: 2023
• 期刊: Journal of Remote Sensing
• 作者: Tavora, Juliana;Jiang, Binbin;Kiffney, Thomas;Bourdin, Guillaume;Gray, Patrick Clifton;Carvalho, Lino Sander;Hesketh, Gabriel;Schild, Kristin M.;Souza, Luiz Faria;Brady, Damian C.
• 通讯作者: Brady, Damian C.

Oyster Aquaculture Site Selection Using High-Resolution Remote Sensing: A Case Study in the Gulf of Maine, United States

利用高分辨率遥感选择牡蛎养殖地点：美国缅因湾案例研究

• DOI: 10.3389/fmars.2022.802438
• 发表时间: 2022
• 期刊: Frontiers in Marine Science
• 影响因子: 3.7
• 作者: Jiang, Binbin;Boss, Emmanuel;Kiffney, Thomas;Hesketh, Gabriel;Bourdin, Guillaume;Fan, Daidu;Brady, Damian C.
• 通讯作者: Brady, Damian C.

Mooring tension assessment of a single line kelp farm with quantified biomass, waves, and currents

• DOI: 10.3389/fmars.2023.1178548
• 发表时间: 2023-05
• 作者: D. Fredriksson;Adam T. St. Gelais;T. Dewhurst;Struan Coleman;D. Brady;B. Costa‐Pierce