Assessing the Effect of High Performance Computing Capabilities on Academic Research Output

نویسندگان

  • Amy W. Apon
  • Linh B. Ngo
  • Michael E. Payne
  • Paul W. Wilson
چکیده

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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تاریخ انتشار 2014