CC* Compute: GROWTH - Gateway for Increased Research Output at a West Texas Higher-education Campus

CC* 计算：增长 - 西德克萨斯州高等教育校园增加研究成果的门户

• 批准号: 2018841
• 负责人: Anirban Pal
• 金额: $ 29.75万
• 依托单位: West Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018841&HistoricalAwards=false
• 关键词: CC; Compute; GROWTH; Gateway; Increased

West Texas A & M University (WTAMU) is expanding its computing resources to meet the rapidly growing needs of faculty, researchers, and students across four colleges on its campus. The university’s current objective is to attain doctoral status and become a Regional Research University to solve the complex and demanding problems associated with the Texas Panhandle region. This project is aimed at tackling the leading issues affecting the region: water and energy. The computing cluster enables scientific and engineering high performance computing (HPC) and data-intensive artificial intelligence (AI). These are key paradigms that are spearheading multiple science drivers across campus in water management, wind energy harvesting and energy storage. This program broadens and fortifies educational opportunities for a regional Hispanic Serving Institution with a recently established engineering graduate program, contributing to the development of an HPC & AI literate workforce. This cluster strongly impacts research and education communities associated with WTAMU, community colleges and industries in the Panhandle region, and Texas A&M Agrilife Research station in Amarillo. In addition to providing local computing resources, this cluster contributes towards the Open Science Grid, which provides high throughput computing resources across the nation. The compute cluster is equipped with 1024 compute CPU cores and 10240 GPU cores to enable massively parallel HPC workflows in computational fluid dynamics, computational materials science computational mechanics, machine learning and data visualization. It complements on campus materials characterization techniques via a computational-empirical interface and engages undergraduate and graduate students in high performance computing and big data applications.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.

西德克萨斯农工大学 (WTAMU) 正在扩展其计算资源，以满足校园内四所学院的教师、研究人员和学生快速增长的需求。该大学当前的目标是获得博士学位并成为一所地区研究型大学，以解决与德克萨斯州狭长地带相关的复杂而艰巨的问题。该项目旨在解决影响该地区的主要问题：水和能源。计算集群支持科学和工程高性能计算（HPC）和数据密集型人工智能（AI）。这些关键范式在校园内的水管理、风能收集和能源存储方面引领了多种科学驱动力。该计划通过最近设立的工程研究生计划扩大和加强了地区拉美裔服务机构的教育机会，有助于培养具有 HPC 和人工智能知识的劳动力。该集群对与 WTAMU 相关的研究和教育社区、潘汉德尔地区的社区学院和工业以及阿马里洛的德克萨斯 A&M 农业研究站产生了强烈影响。除了提供本地计算资源外，该集群还为开放科学网格做出了贡献，该网格在全国范围内提供高吞吐量计算资源。该计算集群配备了1024个计算CPU核心和10240个GPU核心，可在计算流体动力学、计算材料科学、计算力学、机器学习和数据可视化领域实现大规模并行HPC工作流程。它通过计算经验接口补充了校园材料表征技术，并吸引本科生和研究生参与高性能计算和大数据应用。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。