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Cyber Infrastucture Impact (CI-Impact) Project​​

 
High Performance Computing and Research Productivity in U.S. Universities

Institutional investments in enabling research instruments are essential if an institution intends to compete for research funding, top faculty, outstanding graduate students, and rankings. While some esoteric research instruments have a limited set of users, others, such as computing resources, can be widely utilized by both faculty and students.

This project studies and highlights the relationship between investments in High-Performance Computing (HPC) and research competitiveness.  We consider US doctoral-granting institutions that fall into the very high or high research rankings according to the Carnegie Foundation classifications [http://classifications.carnegiefoundation.org/], and additional institutions that have had entries in the “Top 500” HPC list [http://www.top500.org/].  Measures of institutional HPC investment are computed from data that is readily available from the “Top 500” HPC list.  Research competitiveness is derived from federal funding data, compilations of scholarly publications, and institutional rankings.  Results show that consistent investments in HPC at even modest levels are strongly correlated to research competiveness.

 

 

 

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Clemson / NSF / Renci 

  
 

 Contact Information

 
Amy Apon - Clemson University
Stan Ahalt - University of North Carolina at Chapel Hill
Linh Ngo - University of Arkansas
Vijay Dantuluri - University of North Carolina at Chapel Hill
Michael Stealey - University of North Carolina at Chapel Hill

 


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