课题基金 / 基金详情

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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-10-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项用于在德克萨斯农工大学科珀斯克里斯蒂分校(TAMUCC)收购高性能计算(HPC)集群,用于工程、科学和技术研究(CREST)。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。它可以高效地处理计算受限、内存受限和数据密集型作业。该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)通过其五个STEM系、两个研究机构和其他机构进行的最先进的科学和技术研究。CREST为研究具有国家和地区意义的问题提供解决方案。此外,该项目通过为研究和教育工作中的合作创建共享的高性能计算资源,释放了TAMUCC和其他邻近机构,如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立即影响到超过16个创新研究项目,22个研究生课程和12个本科课程,并促进全球沿海社区在环境可持续性、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恢复能力数据等大数据来源的新分析,使各种学科的学术工作、知识生成和创新成为可能。直接的研究影响出现在需要高性能计算资源的一系列领域,包括海洋基因组学、气候预测、大气遥感、水动力模拟、海平面上升模拟、海岸复原力、计算断裂力学、波能行为分析、计算流体力学、全球空气和海洋环流模拟、DNA分析和可再生能源储存。佳洁士在这些领域推动的研究进展将为南得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,佳洁士创造了学生、教职员工和研究团队从未想象过的体验。该项目直接影响到TAMUCC的战略目标,即培养在全球经济中脱颖而出所必需的批判性思维、解决问题和领导技能。CREST通过直接访问TAMUCC由大约50%的西班牙裔(主要是第一代)学生和来自德尔玛学院(70%是西班牙裔学生)的学生、拥有69%西班牙裔学生的德克萨斯农工大学金斯维尔分校以及HIS计算联盟(CAHSI)的其他合作机构的学生,丰富了NSF对代表不足的社区的可访问性和包容性的承诺。最后,CREST可以吸引世界一流的研究人员,并为大学新的海岸和海洋系统科学、海洋生物学和地球空间计算机科学博士项目以及即将到来的数据科学博士项目招聘高素质、多样化的学生和教职员工。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奖项上获得,这反映了国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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REU Site: Applied Computing Research in Unmanned Aerial Systems
  • 批准号:
    2150351
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.64万
  • 财政年份:
    2022
  • 负责人:
    Dulal Kar
  • 依托单位:
Supporting Undergraduates for Careers in Computing and Engineering with Scholarships and Supervision II
REU Site: Applied Computing Research in Unmanned Aerial Systems
Supporting Undergraduates for Careers in Computing and Engineering with Scholarships and Supervision
  • 批准号:
    1458096
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.99万
  • 财政年份:
    2015
  • 负责人:
    Dulal Kar
  • 依托单位:
海外基金