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计算模拟和分析对商业竞争力、工程设计和科学发现至关重要。联邦投资机构、许多州、校园和企业都在高性能计算方面进行投资，以支持计算模拟和分析。这些公司实体、校园、州和联邦政府需要了解和预测与这些项目相关的成本以及这些投资的预期回报。该项目的目标是开发和提供新的网络基础设施（CI）服务，并利用已开发的服务探索在高性能计算方面进行投资时可能赋予机构或地区的一系列利益。各种来源的数据，包括500强名单和美国国家科学基金会的资助记录，也包括来自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，将被整合并呈现为一个可供公众访问的web应用程序。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服务还将在国家、地区和工业部门层面记录和展示高性能计算对经济发展和经济竞争力的影响。这个项目将生成一个基于web的应用程序，目前还没有在其他地方开发。鉴于当前的经济环境，该项目将满足当前对网络基础设施的需求，以展示投资回报和投资高性能计算以及更广泛的网络基础设施的驱动经济原因。更广泛的影响：该项目有潜力通过在学术机构、国家和企业合作伙伴中为高性能计算创造一个新的愿景，从而改变研究和教育活动。该愿景将促进和鼓励新的培训、资金和伙伴关系，以支持HPC，这是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，这一探索性资助将在科学政策、经济发展、数据挖掘和数据分析等领域产生几种类型的合作机会。该项目将引起计算研究人员、资助机构和机构研究人员的兴趣，他们必须在经济紧张时期选择如何分配资金以支持研究。制定科学资助政策的州和联邦资助官员也会对这个项目感兴趣，他们正在寻找在州一级建立经济激励的方法。最后，国家和区域经济发展官员和商业分析师将对该项目感兴趣，他们将能够使用结果定量地了解HPC和CI如何影响区域经济和企业投资。数据分析技术将被开发并应用于该项目，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。

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.