Research Infrastructure: CC* Campus Compute: Next-Generation Shared HPC Cluster to Coordinate Campus Cyberinfrastructure and Accelerate Interdisciplinary Research

该项目获得并部署了最先进的高性能计算（HPC）资源，以服务于蒙大拿州州立大学（MSU）系统的研究人员和教育工作者。这些资源将显著提高HPC支持的模拟、计算建模、数据分析和机器学习的速度和能力，这将加快研究生产力和能力，并增强教育课程。 这些资源将促进围绕新兴技术和战略问题解决的经济发展，例如推进量子科学，解决能源安全问题，保障基础设施安全，推进半导体研究以及改善环境和气候预测。 结合增加的低障碍访问HPC，新的课程，培训，研讨会和实践援助，使更多的学生和研究人员能够开发应用HPC所需的技能，从而扩大劳动力和研究基础的需求领域在低密度和历史上投资不足的状态。与校园和蒙大拿州各机构的少数民族服务单位建立了有针对性的合作伙伴关系，重点是通过使用扩展的计算科学能力或通过使用扩展的计算科学能力来增加代表性不足的人口的机会。部署的资源经过优化，以加速MSU和合作机构不断增长的数据密集型研究领域，包括人工智能，量子计算和材料科学，生物信息学，精准农业，微生物学，计算化学、空间科学、拓扑数据分析、光学和光子学等等。资源包括下一代机器学习优化的图形处理单元（GPU）与最新的中央处理单元（CPU）配对，并利用高速存储和网络的既定基础实现高性能/成本比。这些资源的一部分将通过开放科学网格提供给国家研究界。高级网络基础设施办公室的这一奖项由刺激竞争研究的既定计划（EPSCoR）共同支持。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。

This project acquires and deploys state-of-the-art high-performance computing (HPC) resources to serve the researchers and educators of the four-campus Montana State University (MSU) System. The resources will significantly improve speed and capability of HPC-enabled simulations, computational modeling, data analysis, and machine learning, which will accelerate research productivity and capacity and enhance educational curricula. The resources will promote economic development around emerging technologies and strategic problem solving, such as advancing quantum science, addressing energy security, securing infrastructure, advancing semiconductor research, and improving environmental and climate forecasting. Combined with increased low-barrier access to HPC, new classes, trainings, workshops, and hands-on assistance enable more students and researchers to develop skills needed to apply HPC, and will thus broaden the workforce and research base for in-demand fields in a low-density and historically underinvested state. Targeted partnerships with minority-serving units on campus and institutions across Montana focus on increasing opportunities for underrepresented populations in or through the use of expanded computational science capabilities.The deployed resources are optimized for accelerating growing areas of data intensive research at MSU and partner institutions, including artificial intelligence, quantum computing and material science, bioinformatics, precision agriculture, microbiology, computational chemistry, spatial sciences, topological data analysis, optics and photonics, and more. Resources include next-generation machine learning optimized graphics processing units (GPUs) paired with the latest central processing units (CPUs) and leverage an established foundation of high-speed storage and networking for a high performance/cost ratio. A portion of these resources will be available to the national research community through Open Science Grid.This award by the Office of Advanced Cyberinfrastructure is jointly supported by 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.