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

现代科学和教育的进步越来越依赖于先进的软件和计算机系统来解决当今社会面临的最紧迫的问题。这类软件和系统有助于在地球和环境科学、材料科学和工程、计算生物学和生物信息学以及网络安全等领域进行研究，同时还提供资源和基础设施，以培训各级学生掌握最先进的计算和科学方法。该项目将在新墨西哥矿业与技术学院(新墨西哥理工学院)首次开发一个集中式高性能计算(HPC)系统，为研究人员、教育工作者和学生在未来几十年进行尖端计算研究提供基础。新墨西哥理工学院高性能计算系统的开发将为其研究人员和学生提供比目前可用的指数级更多的计算资源。该项目的具体研究任务包括：破译控制地震和火山喷发等自然灾害的过程，用于可再生能源和工业应用的关键矿物的形成，应对气候变化的技术，新工程合金的失效机制，以及基因变异对类火星环境中的能源生产和元素新陈代谢的贡献。首先，一个集中的、更强大的系统的结果将是研究推力和跨学科计算研究将在新墨西哥理工大学校园中发展得更快的创新。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工作者能够自由地利用先进的计算资源和技术进行互动课堂活动、学生主导的研究项目以及系统管理、设计和使用方面的基本方法介绍。该系统的开发将包括在高性能计算研究技术和管理方面培训一批年轻的、面向计算的年轻研究人员，其中绝大多数人在新墨西哥理工学院的教育经验结束后将留在新墨西哥州。开放数据共享的原则是这项磁共振成像精神的一部分。在这台核磁共振机器上产生的所有数据、方法、代码、软件和材料都将及时和长期地向公众开放。拟议的HPC系统将用于产生来自各种研究人员的大量数据集，具有无数的数据需求。为了便于数据共享，该网站的公共存储库托管在新墨西哥理工学院的Google G教育套件中，网址为https://tinyurl.com/NMT-HPC.在储存库内，数据、软件、代码和结果的特定文件夹将根据研究任务进行组织。储存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年内保持公共存储库的可用性，以便后续出版物可以引导读者访问数据。该项目由重大研究工具计划和既定的激励竞争研究计划(EPSCoR)共同资助。该奖项反映了NSF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。

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.