CC* Campus Compute: Building a Computational Cluster for Scientific Discovery

CC* 校园计算：构建科学发现计算集群

• 批准号: 2346673
• 负责人: Greg Williams
• 金额: $ 29.44万
• 依托单位: University of Colorado at Colorado Springs
• 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: 2024-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346673&HistoricalAwards=false
• 关键词: CC; Campus; Compute; Building; Computational

The University of Colorado Colorado Springs (UCCS) aims to strengthen its cyberinfrastructure to meet the evolving needs of research-oriented faculty and to facilitate the increasing demands of externally funded projects. This project aims to address the growing research mission that accompanies the increase in research activities. The project enables transformative research and supports a multitude of projects in areas such as magnetic dynamics, animal biomechanics, quantum mechanics, super-resolution bio-imaging, mobile hardware architecture exploration, genomics, bioinformatics, and computational fluid dynamics. The computing hardware consists of a heterogeneous mix of compute nodes to cater to various machine learning (ML) workloads. Components include GPU-accelerated nodes, multi-core CPUs, and specialized hardware that is developed for accelerating ML and AI workloads. A high speed fabric interconnects hardware and software. UCCS shares these computing resources with groups such as Open Science Grid (OSG). By contributing to the global pool of OSG resources, the system enables advanced research across the nation. The project supports student training in IT and cyberinfrastructure, fostering diversity in the project's personnel and impact. The technical insights gained will be shared extensively within research computing and scientific communities.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.

科罗拉多大学科罗拉多斯普林斯分校（UCCS）旨在加强其网络基础设施，以满足研究型教师不断变化的需求，并促进外部资助项目日益增长的需求。该项目旨在解决随着研究活动的增加而不断增加的研究使命。 该项目支持变革性研究，并支持磁动力学、动物生物力学、量子力学、超分辨率生物成像、移动的硬件架构探索、基因组学、生物信息学和计算流体动力学等领域的众多项目。计算硬件由计算节点的异构混合组成，以满足各种机器学习（ML）工作负载。组件包括GPU加速节点、多核CPU以及为加速ML和AI工作负载而开发的专用硬件。高速结构将硬件和软件互连。UCCS与开放科学网格（OSG）等组织共享这些计算资源。 通过为全球OSG资源库做出贡献，该系统使全国各地的先进研究成为可能。该项目支持学生在IT和网络基础设施方面的培训，促进项目人员和影响的多样性。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。