MRI: Track 1 Acquisition of a High-Performance Computing System at New Mexico Tech

MRI：新墨西哥理工学院高性能计算系统的第一轨道采购

• 批准号: 2320162
• 负责人: John Naliboff
• 金额: $ 90万
• 依托单位: New Mexico Institute of Mining and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320162&HistoricalAwards=false
• 关键词: MRI; Track; Acquisition; Performance; Computing

Progress in modern science and education has become increasingly reliant on advanced software and computer systems to address the most pressing issues facing society today. Such software and systems enable research in the fields of earth and environmental science, materials science and engineering, computational biology and bioinformatics, and cybersecurity, while also providing the resources and infrastructure to train students across all levels in state-of-the-art computational and scientific methods. This project will develop a centralized high-performance computing (HPC) system for the first time at the New Mexico Institute of Mining and Technology (New Mexico Tech), providing a foundation for researchers, educators, and students to conduct cutting edge computational research over the coming decades.The development of a high-performance computing system at New Mexico Tech will provide its researchers and students exponentially more computational resources than currently available. Specific research tasks for the project include: deciphering the processes controlling natural hazards such as earthquakes and volcanic eruptions, the formation of critical minerals for use in renewable energy and industrial applications, technology for addressing climate change, failure mechanisms in new engineering alloys, and the contribution of genetic variation to energy production and elemental metabolism in Mars-like environments.The Broader Impacts of this MRI are two-fold. One, the result of a centralized, more powerful system will be more rapid innovation in the research thrusts and trans-disciplinary computational research will evolve on the New Mexico Tech campus. Second, from an educational perspective, the high-performance computing system developed at NMT will enable educators to freely utilize advanced computational resources and techniques for interactive classroom activities, student-led research projects, and introductions to fundamental methods in system administration, design, and usage. Development of the system will include training a diverse cohort of young, computationally oriented researchers in high performance computing-based research techniques and administration, a vast majority of whom will remain in New Mexico after their educational experience at New Mexico Tech.The principles of open data sharing are part of the spirit of this MRI. All data, methods, code, software, and materials produced on this MRI machine will be made available to the public, in a timely fashion and for the long-term. The proposed HPC system will be used to produce a large number of datasets from a variety of researchers, with myriad data needs. To accommodate data sharing, a public repository for this website is hosted in New Mexico Tech’s Google G Suite for Education, at https://tinyurl.com/NMT-HPC. Within the repository, specific folders for data, software, codes, and results will be organized according to the research thrusts. The repository will be maintained by the project leaders and updated on an annual basis. The target is to maintain availability of the public repository for 10 years after the installation of the HPC machines, so that subsequent publications can direct readers to the data.This project is jointly funded by the Major Research Instrumentation program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

现代科学和教育方面的进步已经越来越与高级软件和计算机系统有关，以解决当今社会面临的最紧迫问题。这样的软件和系统使在地球和环境科学领域，材料科学和工程，计算生物学和生物信息学以及网络安全方面进行研究，同时还提供资源和基础设施，以培训最先进的计算和科学方法的所有级别的学生。该项目将首次在新墨西哥州采矿技术研究所（新墨西哥州科技）开发集中式的高性能计算（HPC）系统，为研究人员，教育工作者和学生提供基础，以在未来几十年进行研究人员，教育工作者和学生进行最先进的计算研究。 Specific research tasks for the project include: deciphering the processes controlling natural hazards such as earthquakes and volcanic eruptions, the formation of critical minerals for use in renewable energy and industrial applications, technology for addressing climate change, failure mechanisms in new engineering alloys, and the contribution of genetic variation to energy production and elemental metabolism in Mars-like environments.The Broader Impacts of this MRI are two-fold.其中之一是，在研究推力和跨学科计算研究中，集中式，更强大的系统的结果将是新墨西哥理工学院的跨学科计算研究的更快创新。其次，从教育的角度来看，NMT开发的高性能计算系统将使教育用户能够自由地利用高级计算资源和技术，用于交互式课堂活动，由学生主导的研究项目以及对系统管理，设计和使用中的基本方法的介绍。该系统的开发将包括培训基于高性能计算的研究技术和管理方面的年轻，以计算为导向的研究人员，在新墨西哥州的教育经验之后，其中绝大多数将留在新墨西哥州。开放数据共享的原则是该MRI精神的一部分。该MRI机器上生产的所有数据，方法，代码，软件和材料将及时及时向公众提供。拟议的HPC系统将用于从各种研究人员中生产大量数据集，并有无数的数据需求。为了容纳数据共享，该网站的公共存储库由https://tinyurl.com/nmt-hpc托管在新墨西哥理工学院的Google G Google G套件中。在存储库中，将根据研究推力组织数据，软件，代码和结果的特定文件夹。存储库将由项目负责人维护，并每年更新。目标是在安装HPC机器后的10年内维持公共存储库的可用性，以便随后的出版物可以将读者引导到数据。该项目由主要的研究仪器计划和既定的计划刺激竞争性研究（EPSCOR）共同资助，以反映了NSF的法规诚实的稳定性，这表明了NSF诚实的构成，并构成了诚实的支持。 标准。