MRI: Acquisition of High-Performance Computing Cluster for Research and Workforce Development at University of Cincinnati

该项目将支持收购辛辛那提大学（UC）的高性能计算（HPC）和高速存储系统。该仪器将满足加州大学研究人员和科学家的计算需求，包括物理、化学、航空航天与机械工程、计算机科学、生物信息学、医学和数字人文等广泛领域。高性能计算系统在这些领域推动的研究项目将推进基础科学，并为卫生和国家安全方面的国家优先事项作出贡献。该系统还将作为开发新算法的启动设施，以及代码的初始和可扩展性测试，然后将其移植到国家超级计算设施。超过117名教师和学生将立即受益于该设备。除了科学进步和下一代HPC劳动力的发展之外，该项目还将为HPC管理员和促进者的培训提供机会。通过参与开放科学网格，该设备还将使外部用户的研究活动成为可能。该项目将通过暑期实习和当地市中心学校的讲习班，让代表性不足的群体参与进来。此外，该项目将通过加州大学高级研究计算中心和数字奖学金中心之间的合作，为人文学科的研究人员提供接触高性能计算的好处的可能性。计算集群将由中央处理单元（CPU）、图形处理单元（GPU）和高速刮刮存储组成，以大幅增强加州大学高级研究计算中心的能力，从而为计算和数据科学研究人员提供支持，为大规模科学计算提供HPC资源，为蒙特卡洛类型模拟提供HTC，为高级分析、人工智能和可视化提供GPU。所有这些都将使复杂和日益现实的建模、仿真和数据分析成为可能。这些基于分子动力学和量子化学模拟、计算流体动力学、多宇宙随机模型、数据密集型、深度学习和图形卷积神经网络的研究工作，将推进我们对物理和网络物理系统、材料的化学和机械行为、宇宙的结构和起源的认识，并有助于创新应用的发展，如大脑启发计算。针对复杂疾病的有效个性化精准医疗、碳中和燃烧装置、高超音速推进系统、多无人机自主系统和智慧城市。这些目标与UC的一个企业级项目“数字未来计划”密切相关。该奖项反映了美国国家科学基金会的法定使命，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 will the support the acquisition of a high-performance computing (HPC) and high-speed storage system at the University of Cincinnati (UC). This instrument will meet the computing needs of UC researchers and scientists spanning a broad range of fields including, physics, chemistry, aerospace & mechanical engineering, computer science, bioinformatics, medicine, and digital humanities. The research projects enabled by the HPC system in these areas will advance fundamental science and contribute to national priorities in health and national security. This system will also serve as a launching facility for the development of novel algorithms, and initial and scalability testing of codes, which will then be ported to national supercomputing facilities. Over 117 faculty and students will immediately benefit from this equipment. In addition to scientific advancements and development of the next generation of HPC-enabled workforce, this project will provide opportunities for the training of HPC administrators and facilitators. Through participation in the Open Science Grid, the equipment will also enable the research activities of external users. This project will involve the participation of underrepresented groups through summer internships, and workshops at local inner-city schools. Further, this project will offer the possibility of exposing researchers in humanities to the benefits of HPC through collaboration between the Advanced Research Computing and the Digital Scholarship Centers at UC.The computing cluster will consist of Central Processing Units (CPU), Graphics Processing Units (GPU) and high-speed scratch storage to substantially enhance the capabilities of the Advanced Research Computing Center at UC and thereby support computational and data science researchers by providing HPC resources for large-scale scientific calculations, HTC for Monte Carlo type simulations, and GPUs for advanced analytics, artificial intelligence, and visualization, all of which will enable sophisticated and increasingly realistic modeling, simulation and data analysis. These research efforts based on molecular dynamics and quantum chemistry simulations, computational fluid dynamics, multi-universe stochastic models, and data-intensive, deep learning and graph convolutional neural networks, will advance our knowledge of physical & cyber-physical systems, chemical and mechanical behaviors of materials, the structure and origin of our universe and contribute to the development of innovative applications such as brain-inspired computing, effective personalized precision medicine for complex diseases, carbon-neutral combustion devices, hypersonic propulsion systems, multi-UAV autonomous systems, and smart cities. These objectives closely align with one of UC’s enterprise-level programs, the Digital Futures initiative.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.