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CC* CIRA: Bridging the Digital Chasm HPC for ALL

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:
$20.0万
依托单位:
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
项目状态:
未结题
起止时间:
2024-05-01 至 2026-04-30

项目摘要

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中文摘要
翻译
这项为期两年的规划工作为科罗拉多州立大学制定了可持续高性能计算(HPC)的包容性愿景,以支持大数据时代的知识发现。为了实现这一目标,正在举办一系列校园研讨会和规划会议,以促进与利益攸关方的接触,并扩大对数据驱动的知识发现的参与。这些活动包括计划开发培训和教育材料,以提高校园社区对数据密集型计算的可访问性,解决新的并行计算技术与教职员工和学生研究的整合,以及加强区域和国家的计算伙伴关系。与这些以用户为目标的活动相结合,同时努力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。这一规划阶段的首要目标是发展一个自给自足的基础设施,使校园社区能够培养专业知识,并为国家需要的HPC领域的劳动力发展做出贡献。在CSU培养高性能计算和数据驱动的发现文化的更广泛的影响是,教师、学生和毕业生提高了做出改善社会的基本发现的能力,例如,对大流行预防、气候和天气预报、通过数字土壤和作物科学提供食品的预测分析。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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ATD: Algorithms for Data Analysis on Abstract Manifolds
  • 批准号:
    1830676
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2018
  • 负责人:
    Michael Kirby
  • 依托单位:
BIGDATA: F: Data Driven Optimization on Flag Manifolds with Geometric Constraints
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    1633830
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2016
  • 负责人:
    Michael Kirby
  • 依托单位:
RAPID: Early Warning Algorithms for Predicting Ebola Infection Outcomes
  • 批准号:
    1513633
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.71万
  • 财政年份:
    2015
  • 负责人:
    Michael Kirby
  • 依托单位:
ATD: Detection and Classification of Threats Using Subspace Manifold Geometry
  • 批准号:
    1322508
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.16万
  • 财政年份:
    2013
  • 负责人:
    Michael Kirby
  • 依托单位:
海外基金