CC* CIRA: Bridging the Digital Chasm HPC for ALL

CC* CIRA：为所有人弥合数字鸿沟 HPC

• 批准号: 2346713
• 负责人: Michael Kirby
• 金额: $ 20万
• 依托单位: Colorado State University
• 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: 2024-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346713&HistoricalAwards=false
• 关键词: CC; CIRA; Bridging; Digital; Chasm

This two-year planning effort develops an inclusive vision for sustainable High-Performance Computing (HPC) at Colorado State University to support knowledge discovery in the era of big data. To accomplish this, a series of campus workshops and planning sessions are being held to foster engagement with stakeholders, as well as broaden participation in data-driven knowledge discovery. These activities include planning the development of training and educational materials to enhance accessibility of data-intensive computing to the campus community, addressing the integration of new parallel computing technologies with faculty and student research, and strengthening computing partnerships both regionally and nationally.In conjunction with these user targeted activities, there is a simultaneous effort to update the university cyber-infrastructure plan including addressing the transmission, storage, and hosting of large data sets. An overarching goal of this planning phase is the development of a self-sustaining infrastructure that enables the campus community to cultivate expertise and contribute to workforce development in HPC, an area of national need. The broader impact of fostering a culture of high-performance computing and data driven discovery at CSU is the enhanced ability of faculty, students and graduates to make fundamental discoveries that improve society, e.g., predictive analytics for pandemic preparedness, climate and weather prediction, food supply through digital soil and crop sciences.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.

这项为期两年的规划工作为科罗拉多州立大学可持续高性能计算 (HPC) 制定了包容性愿景，以支持大数据时代的知识发现。 为了实现这一目标，我们举办了一系列校园研讨会和规划会议，以促进利益相关者的参与，并扩大对数据驱动的知识发现的参与。 这些活动包括规划培训和教育材料的开发，以提高校园社区对数据密集型计算的可及性，解决新的并行计算技术与教师和学生研究的集成，以及加强区域和国家范围内的计算伙伴关系。在这些针对用户的活动的同时，我们还同步更新大学网络基础设施计划，包括解决大型数据集的传输、存储和托管问题。 此规划阶段的首要目标是开发自我维持的基础设施，使校园社区能够培养专业知识并为国家需要的高性能计算领域的劳动力发展做出贡献。 在科罗拉多州立大学培养高性能计算和数据驱动的发现文化的更广泛影响是提高教师、学生和毕业生做出改善社会的基本发现的能力，例如针对流行病防备的预测分析、气候和天气预报、食品该奖项反映了 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。