Nonparametric methods and some new results on hypothesis testing with
nonparametric efficiency estimators are used to analyze the effect of
locally-available high performance computing (HPC) resources on
universities' efficiency in producing research and other outputs.
The results indicate 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. Mixed results are found for Biology. These research results
provide a critical first step in a quantitative economic model for
investments in HPC. On-going research is looking at how universities decide
to acquire local HPC infrastrucure, and its effect on the type of research
that is done.