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。这些软件和系统使地球和环境科学，材料科学和工程，计算生物学和生物信息学以及网络安全领域的研究成为可能，同时还提供资源和基础设施，以培养各级学生最先进的计算和科学方法。该项目将在新墨西哥州矿业与技术研究所首次开发集中式高性能计算（HPC）系统（新墨西哥州技术），为研究人员，教育工作者，和学生进行尖端的计算研究在未来几十年。发展一个高-新墨西哥州理工学院的一个高性能计算系统将为研究人员和学生提供比目前可用的计算资源成倍增加的计算资源。该项目的具体研究任务包括：破译控制地震和火山爆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，以及在类似火星的环境中遗传变异对能量产生和元素代谢的贡献。这次MRI的更广泛影响有两个-折第一，一个集中的，更强大的系统的结果将是在研究推力和跨学科的计算研究将在新墨西哥州技术校园更迅速的创新。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，并介绍系统管理，设计和使用的基本方法。该系统的开发将包括培训一批年轻的，面向计算的研究人员在高性能计算为基础的研究技术和管理，其中绝大多数人将留在新墨西哥州后，他们的教育经验在新墨西哥州技术。开放数据共享的原则是这个MRI的精神的一部分。在这台MRI机器上产生的所有数据，方法，代码，软件和材料将及时和长期地向公众提供。拟议的HPC系统将用于从各种研究人员那里产生大量数据集，这些数据集具有无数的数据需求。为了适应数据共享，本网站的公共存储库托管在新墨西哥州科技公司的Google G Suite for Education中，网址为https://tinyurl.com/NMT-HPC。在存储库中，数据、软件、代码和结果的特定文件夹将根据研究重点进行组织。资料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10年内保持公共存储库的可用性，该项目由重大研究工具计划和刺激竞争性研究的既定计划（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知识价值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.