Assessing the effect of high performance computing capabilities on academic research output | Zendy

Amy Apon | Zendy; Linh B. Ngo | Zendy; Michael E. Payne | Zendy; Paul W. Wilson | Zendy

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Assessing the effect of high performance computing capabilities on academic research output

Author(s) -

Amy Apon,

Linh B. Ngo,

Michael E. Payne,

Paul W. Wilson

Publication year - 2014

Publication title -

empirical economics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 56

eISSN - 1435-8921

pISSN - 0377-7332

DOI - 10.1007/s00181-014-0833-7

Subject(s) - nonparametric statistics , estimator , computer science , supercomputer , efficiency , econometrics , management science , economics , mathematics , statistics , parallel computing

This paper uses nonparametric methods and some new results on hypothesis testing with nonparametric efficiency estimators and applies these to analyze the effect of locally available high performance computing (HPC) resources on universities’ efficiency in producing research and other outputs. We find that locally available HPC resources enhance the technical efficiency of research output in Chemistry, Civil Engineering, Physics, and History, but not in Computer Science, Economics, nor English; we find mixed results for Biology. Our research results provide a critical first step in a quantitative economic model for investments in HPC.

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