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

该合同为获得德克萨斯a&m大学科珀斯克里斯蒂分校（TAMUCC）用于工程、科学和技术研究的高性能计算（HPC）集群提供资金。CREST由40个最先进的计算节点、8个功能强大的GPU （Graphics Processing Unit）节点、2个大型内存节点和2个通过ib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。这个强大的系统支持德克萨斯农工大学科珀斯克里斯蒂分校（TAMUCC）的五个STEM部门、两个研究机构等最先进的科学技术研究。CREST使解决方案能够研究具有国家和地区意义的问题。此外，该项目通过创建一个共享的高性能计算资源，为研究和教育工作的合作创造机会，从而释放了TAMUCC和其他邻近机构（德克萨斯农工大学金斯维尔分校和德尔玛学院）的研究人员和教育工作者的潜力。CREST立即影响了16个创新研究项目，22个研究生和12个本科课程，并促进了全球沿海社区环境可持续性，经济福祉和安全方面的区域研究进展。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复原力数据等大数据源的新分析，使不同学科的学术工作、知识生成和创新成为可能。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、海岸恢复力、计算断裂力学、波浪能行为分析、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等，都会产生直接的研究影响。CREST在这些领域推动的研究进展将为南德克萨斯州沿海社区以及全球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。总的来说，CREST创造了学生、教师和研究团队从未想象过的体验。该项目直接影响了TAMUCC的战略目标，即培养在全球经济中脱颖而出的批判性思维，解决问题的能力和领导技能。CREST通过直接接触TAMUCC的多元化学生群体，包括大约50%的西班牙裔（主要是第一代）学生，以及来自德尔玛学院（70%是西班牙裔学生）的学生，德克萨斯农工大学金斯维尔分校（69%是西班牙裔学生）的学生，以及其他hsi计算联盟（CAHSI）的合作机构，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。最后，CREST可以吸引世界级的研究人员，招募高素质、多样化的学生和教师，为该大学新的沿海和海洋系统科学、海洋生物学和地理空间计算机科学博士课程，以及即将推出的数据科学博士课程服务。有关CREST项目的更多信息，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http://hpc.tamucc.edu/crest.This上获得。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。

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.