将网络基础设施生产函数模型应用于R1机构
Preston M Smith1, Jill Gemmill2, David Y Hancock3
1Rosen Center for Advanced Computing, Purdue University, West Lafayette, IN, United States.
Frontiers in research metrics and analytics
|September 8, 2025
概括
对高性能计算 (HPC) 基础设施的投资在高等教育中产生了积极的机构回报. 生产函数模型有效量化了研究计算的价值,尽管具体结果因机构而异.
科学领域:
- 经济学 经济学 经济学
- 计算机科学 计算机科学
- 高等教育行政管理.
背景情况:
- 高性能计算 (HPC) 是高等教育的组成部分,用于建模,模拟和AI.
- 超级计算机代表着巨大的资本和运营成本,需要仔细评估投资.
研究的目的:
- 评估生产函数模型对量化研究计算投资价值在各大学的概括性.
- 通过逆转生产功能来开发HPC投资容量规划模型.
主要方法:
- 经济生产功能概念的应用.
- 在多种不同的大学环境中对模型通用性的评估.
- 对HPC能力规划的生产函数的反转.
主要成果:
- 生产函数模型证明了通用性,并表明HPC投资的机构回报是积极的.
- 对计算资源和人员的投资对机构的结果产生了积极的影响.
- 模型中的相对输入-输出关系因特定因素而因机构而异.
结论:
- 生产函数模型是评估高等教育HPC投资的可行工具.
- 积极的回报证明了对研究计算基础设施和人员的投资是合理的.
- 机构特定的因素需要针对HPC能力规划采取量身定制的方法.
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