Demonstrating the Impact of High Performance Computing to Academic Competiveness

展示高性能计算对学术竞争力的影响

基本信息

  • 批准号:
    0946726
  • 负责人:
  • 金额:
    $ 29.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-15 至 2012-02-29
  • 项目状态:
    已结题

项目摘要

Demonstrating the Impact of High Performance Computing to Academic CompetitivenessComputational simulation and analysis are essential to business competitiveness, engineering design, and scientific discovery. Federal investments, many states, campuses, and businesses make investments in high performance computing for the support of computational simulation and analysis. These corporate entities, campuses, states, and the federal government need to understand and predict the costs associated with these programs as well as the return that can be expected on these investments.The objective of this project is to develop and provision a new cyberinfrastructure (CI) service, and to use the developed service to explore a range of benefits that may be conferred upon an institution or a region when an investment is made in high performance computing. Various sources of data, including the Top 500 list and NSF funding records, but also including funding records from other federal agencies, census data, and economic data from various sources including annual reports and stock market indices, will be integrated and presented as a web application that is publically accessible. Intellectual Merit: The developed CI service will be a web-based database and knowledge base application that will document the impact of high performance computing (HPC), including the impact on competitive funding at U.S. academic institutions. The CI service will also document and demonstrate the impact of HPC on economic development and economic competitiveness at the state, regional, and industrial sector level. This project will generate a web-based application that is not currently under development elsewhere. Given the current economic climate, this project will meet a current need of cyberinfrastructure to demonstrate the return on investment and the driving economic reasons for investing in high performance computing and, more broadly, cyberinfrastructure. Broader Impact: This project has the potential to transform research and educational activities by creating a new vision for HPC at academic institutions and to state and corporate partners. The vision will promote and encourage new levels of training, funding, and partnerships to support HPC, a cornerstone of computational science and engineering. This proposal combines interdisciplinary data from a variety of sources in novel ways not previously explored. We anticipate several types of collaborative opportunities emerging from this exploratory grant in areas that include science policy, economic development, data mining, and data analytics.The project will be of interest to computational researchers, funding agencies, and institutional research officers who must choose how to allocate funds for support of research in tight economic times. The project will also be of interest to state and federal funding officers who set policy for science funding, and who are looking for ways to create economic incentives at the state level. Finally, the project will be of interest to state and regional economic development officers and business analysts who will be able to use the results to quantitatively understand how HPC and CI can impact regional economies and corporate investment. Techniques for data analytics will be developed and applied in the project that will generate topics for interdisciplinary research projects in computer science, business management, and economics.
演示高性能计算对学术竞争力的影响计算模拟和分析对于商业竞争力、工程设计和科学发现至关重要。 联邦投资、许多州、校园和企业投资于高性能计算,以支持计算模拟和分析。 这些企业实体、校园、州和联邦政府需要了解和预测与这些计划相关的成本以及这些投资的预期回报。本项目的目标是开发和提供新的网络基础设施(CI)服务,并使用所开发的服务来探索当对高性能计算进行投资时可以赋予机构或区域的一系列益处。 各种数据来源,包括500强名单和NSF资助记录,还包括其他联邦机构的资助记录、人口普查数据以及来自各种来源的经济数据,包括年度报告和股票市场指数,将被整合并作为一个可访问的Web应用程序呈现。 智力优势:开发的CI服务将是一个基于Web的数据库和知识库应用程序,将记录高性能计算(HPC)的影响,包括对美国学术机构竞争性资金的影响。 CI服务还将记录和展示HPC对州、地区和工业部门经济发展和经济竞争力的影响。 这个项目将产生一个基于网络的应用程序,目前还没有在其他地方开发。 考虑到当前的经济环境,该项目将满足当前对网络基础设施的需求,以展示投资回报率以及投资高性能计算和更广泛的网络基础设施的驱动经济原因。 更广泛的影响:该项目有可能通过为学术机构以及州和企业合作伙伴创建HPC的新愿景来改变研究和教育活动。 该愿景将促进和鼓励新水平的培训,资金和合作伙伴关系,以支持HPC,计算科学和工程的基石。 该提案以前所未有的新颖方式结合了来自各种来源的跨学科数据。 我们预计,在科学政策、经济发展、数据挖掘和数据分析等领域,这项探索性资助将带来几种类型的合作机会。该项目将吸引计算研究人员、资助机构和机构研究人员,他们必须选择如何在经济紧缩时期分配资金来支持研究。 该项目也将引起州和联邦资助官员的兴趣,他们为科学资助制定政策,并正在寻找在州一级创造经济激励的方法。 最后,该项目将对州和地区经济发展官员和业务分析师感兴趣,他们将能够利用结果定量了解HPC和CI如何影响地区经济和企业投资。 数据分析技术将在项目中开发和应用,该项目将为计算机科学,商业管理和经济学的跨学科研究项目产生主题。

项目成果

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Jackson Cothren其他文献

Jackson Cothren的其他文献

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{{ truncateString('Jackson Cothren', 18)}}的其他基金

CC* CIRA: Shared Arkansas Research Plan for Community Cyber Infrastructure (SHARP CCI)
CC* CIRA:阿肯色州社区网络基础设施共享研究计划 (SHARP CCI)
  • 批准号:
    2126108
  • 财政年份:
    2021
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Integrating Spatial Analysis into Long Term Research
合作研究:将空间分析纳入长期研究
  • 批准号:
    2012590
  • 财政年份:
    2020
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Collaborative Research Spatial Archaeometry: Integrating Spatial Analysis into Archaeological Research
空间考古学合作研究:将空间分析融入考古研究
  • 批准号:
    1822110
  • 财政年份:
    2018
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Integrating Spatial Analysis into Archaeological Research
将空间分析融入考古研究
  • 批准号:
    1720339
  • 财政年份:
    2017
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Opening Pathways to Employment through Nontraditional Geospatial Applications in Technical Education (OPEN-GATE)
通过技术教育中的非传统地理空间应用开辟就业途径 (OPEN-GATE)
  • 批准号:
    1601552
  • 财政年份:
    2016
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Expanding Collaborative Opportunities for Research in Archaeo-Geomatics and Archaeo-Geophysics at CAST
扩大中国科协考古地球信息学和考古地球物理学研究的合作机会
  • 批准号:
    1519660
  • 财政年份:
    2015
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
CC*IIE Networking Infrastructure: Capacity and Capability Network Enhancements to Support Data-Driven Research at the University of Arkansas
CC*IIE 网络基础设施:能力和能力网络增强,支持阿肯色大学的数据驱动研究
  • 批准号:
    1440653
  • 财政年份:
    2014
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Expanding Collaborative Opportunities for Research in Archaeo-Geomatics and Archaeo-Geophysics at CAST/AIL
扩大 CAST/AIL 考古地球信息学和考古地球物理学研究的合作机会
  • 批准号:
    1321443
  • 财政年份:
    2013
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Cyberinfrastructure for Transformational Scientific Discovery in Arkansas and West Virginia (CI TRAIN)
合作研究:阿肯色州和西弗吉尼亚州变革性科学发现的网络基础设施 (CI TRAIN)
  • 批准号:
    0918970
  • 财政年份:
    2009
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Cooperative Agreement

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