MRI: Acquisition of High Performance Computer Cluster for Multidisciplinary Computational Research and Education

MRI：采购高性能计算机集群用于多学科计算研究和教育

• 批准号: 1531923
• 负责人: Amit Sharma
• 金额: $ 15万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1531923&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Computer; Cluster

This project, acquiring a high performance computer cluster, aims to enable discipline-specific and inter-disciplinary computing intensive scientific research in the areas of, but not limited to, chemical physics, material science, bioinformatics, ecological research, genomic research, morphological sciences, ocean modeling, mathematical cognition analysis, and many more. It will also be used for the education of new generation computational researchers. The instrument will be used by more than 12-faculty members from Physics, Mathematics, Biological Sciences, Materials Engineering, Psychology and Community Health, and, will impact hundreds of students in the STEM disciplines.Numerous discipline-specific and interdisciplinary research programs will leverage this instrument to further their research goals. Efforts in computational chemical physics provide insights into new mechanisms to improve combustion modeling. Materials modeling, methods and software development will generate improved ways to model device failures. Microfiltration, nanofluidics research, and, 3D ocean modeling will advance oil exploration research. High-throughput annotation and analysis of large-scale microbial ecology data will provide insight into the role of gut microbes in human health, and prediction models for craniofacial growth will improve current practices within clinical orthodontics. This instrument strongly impacts the integration of research into STEM education, thus, providing an intellectual platform for researchers and students. The cluster will be the primary educational tool for WSU's newly developed Interdisciplinary Applied Science and Mathematics PhD program, potentially impacting hundreds of students at both the undergraduate and graduate levels across many disciplines. It will be the first of its kind in the Dayton region to provide education and training on the basic tools and techniques of multiprocessor computing for computational scientists A student-centered, research-based, pragmatic multi-disciplinary course, co-taught by the proposal team, based on an investigative learning approach will provide an educational platform for teaching computational concepts and tools for applying numerical methods in STEM research. The project contributes to developing a computationally skilled workforce, thus, building a stronger computing community at WSU and strengthening WSU's partnerships in computing education with other universities in the area. Access to the cluster benefits efforts to develop and deploy computational/computing-infused courses and consequently broadens participation in the area of scientific

该项目获得了一个高性能的计算机集群，旨在促进在化学物理、材料科学、生物信息学、生态研究、基因组研究、形态科学、海洋建模、数学认知分析等领域进行特定学科和跨学科计算的密集科学研究。它还将用于新一代计算研究人员的教育。该仪器将被来自物理、数学、生物科学、材料工程、心理学和社区卫生的12名教师使用，并将影响STEM学科的数百名学生。许多特定学科和跨学科的研究项目将利用该仪器来促进他们的研究目标。计算化学物理方面的努力提供了对改进燃烧模型的新机制的见解。材料建模、方法和软件开发将产生改进的设备故障建模方法。微滤、纳米流体研究和三维海洋建模将推动石油勘探研究。对大规模微生物生态数据的高通量注释和分析将深入了解肠道微生物在人类健康中的作用，而颅面生长预测模型将改进目前临床正畸领域的实践。这一工具对将研究融入STEM教育产生了强烈的影响，从而为研究人员和学生提供了一个智力平台。该群组将成为西斯安那州立大学新开发的跨学科应用科学和数学博士项目的主要教育工具，可能会影响许多学科的数百名本科生和研究生。这将是代顿地区第一个为计算科学家提供多处理器计算基本工具和技术教育和培训的此类课程。一个以学生为中心、以研究为基础、实用的多学科课程，由提案小组以研究性学习方法为基础共同教授，将为教授计算概念和将数值方法应用于STEM研究的工具提供一个教育平台。该项目有助于培养一支具有计算技能的劳动力队伍，从而在西澳州立大学建立一个更强大的计算界，并加强西澳州立大学与该地区其他大学在计算机教育方面的伙伴关系。进入集群有利于努力开发和部署计算/计算注入的课程，从而扩大对科学领域的参与。