MRI: Acquisition of High-Performance Computing Cluster for Research in Engineering, Science, and Technology

MRI：收购高性能计算集群用于工程、科学和技术研究

• 批准号: 2216335
• 负责人: Dulal Kar
• 金额: $ 116.66万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2216335&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Computing; Cluster

This award funds the acquisition of a high-performance computing (HPC) cluster for research in engineering, science, and technology (CREST) at Texas A&M University-Corpus Christi (TAMUCC). CREST consists of 40 state-of-the-art compute nodes, eight powerful GPU (Graphics Processing Unit) nodes, two large memory nodes, and two large storage arrays connected through an InfiniBand switch. It can handle compute-bound, memory-bound, and data-intensive jobs efficiently. The powerful system supports state-of-the-art science and technology research at Texas A&M University-Corpus Christi (TAMUCC) through its five STEM departments, two research institutes, and beyond. CREST enables solutions to research problems of national and regional significance. Further, the project unlocks the potential of researchers and educators at TAMUCC and other neighboring institutions, Texas A&M University-Kingsville and Del Mar College, by creating a shared high-performance computing resource for collaborations in research and educational endeavors.CREST immediately impacts over 16 innovative research projects, 22 graduate and 12 undergraduate courses, and facilitates regional research advances in environmental sustainability, economic well-being, and safety of coastal communities across the globe. New analysis of big data sources such as climate data, genomic data, data from smart environments, coastal and marine data, and data on coastal resiliency enables scholarly work, knowledge generation, and innovation in varied subjects. Immediate research impact occurs in an array of fields requiring HPC resources, including marine genomics, climate prediction, atmospheric remote sensing, hydrodynamic modeling, sea-level rise modeling, coastal resiliency, computational fracture mechanics, wave energy behavior analysis, computational fluid dynamics, global air and ocean circulation modeling, DNA analysis, and renewable energy storage. Research advances facilitated by CREST in these fields will bring many benefits to environmental sustainability, economic well-being, and safety of coastal communities in South Texas as well as many other coastal communities across the globe. Broadly, CREST creates experiences students, faculty, and research teams have never imagined. The project directly impacts TAMUCC's strategic goal to develop critical thinking, problem solving, and leadership skills necessary to excel in a global economy. CREST enriches NSF’s commitment to accessibility and inclusivity for underrepresented communities through direct access to TAMUCC’s diverse student body consisting of approximately 50% Hispanic (mainly first generation) students as well as students from Del Mar College where 70% are Hispanic students, Texas A&M University-Kingsville with its 69% Hispanic students, and other partner institutions of the Computing Alliance for HSIs (CAHSI). Finally, CREST can attract world-class researchers and recruit highly qualified, diverse students and faculty for the university's new doctoral programs in Coastal and Marine System Science, Marine Biology, and Geospatial Computer Science, and a forthcoming doctoral program in Data Science. Additional information about the CREST project, including objectives, detailed computing resources, research and education activities, and project reports are available at http://hpc.tamucc.edu/crest.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.

该奖项为德克萨斯州A M大学科珀斯克里斯蒂分校（TAMUCC）的工程、科学和技术研究（CREST）收购高性能计算（HPC）集群提供资金。CREST由40个最先进的计算节点、8个强大的GPU（图形处理单元）节点、两个大型内存节点和两个通过InfiniBand交换机连接的大型存储阵列组成。它可以有效地处理计算密集型、内存密集型和数据密集型作业。强大的系统通过其五个STEM部门，两个研究所等支持德克萨斯州A M大学科珀斯克里斯蒂分校（TAMUCC）的最先进的科学和技术研究。CREST能够解决具有国家和区域意义的研究问题。此外，该项目释放的研究人员和教育工作者在TAMUCC和其他邻近机构，得克萨斯州农工大学金斯维尔和德尔马尔学院的潜力，通过创建一个共享的高性能计算资源，在研究和教育工作的合作。CREST立即影响超过16个创新的研究项目，22个研究生和12个本科生课程，并促进区域研究在环境可持续性，经济福祉和安全的沿海社区在地球仪的进步。对气候数据、基因组数据、智能环境数据、沿海和海洋数据以及沿海弹性数据等大数据源的新分析，使学术工作、知识生成和各种学科的创新成为可能。直接的研究影响发生在一系列需要HPC资源的领域，包括海洋基因组学，气候预测，大气遥感，流体动力学建模，海平面上升建模，海岸弹性，计算断裂力学，波能行为分析，计算流体动力学，全球空气和海洋环流建模，DNA分析和可再生能源存储。CREST在这些领域的研究进展将为德克萨斯州南部以及地球仪的许多其他沿海社区的环境可持续性，经济福祉和安全带来许多好处。从广义上讲，CREST创造了学生，教师和研究团队从未想象过的体验。该项目直接影响TAMUCC的战略目标，以发展批判性思维，解决问题和领导能力，在全球经济中脱颖而出。CREST丰富了NSF对代表性不足的社区的可访问性和包容性的承诺，通过直接访问TAMUCC的多元化学生团体，包括约50%的西班牙裔（主要是第一代）学生以及来自德尔马尔学院的学生，其中70%是西班牙裔学生，德克萨斯州A M大学金斯维尔分校的69%西班牙裔学生，以及计算联盟的其他合作机构。最后，CREST可以吸引世界一流的研究人员，并为该大学在沿海和海洋系统科学，海洋生物学和地理空间计算机科学方面的新博士课程以及即将到来的数据科学博士课程招募高素质，多样化的学生和教师。有关CREST项目的其他信息，包括目标，详细的计算资源，研究和教育活动，以及项目报告，可在www.example.com上获得http://hpc.tamucc.edu/crest.This奖项反映了NSF的法定使命，并被认为值得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来支持。