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International Journal of High Performance Computing Applications
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A Framework for Measuring Supercomputer Productivity

Marc Snir

Department of Computer Science at the University of Illinois at Urbana-Champaign

David A. Bader

Departments of Electrical and Computer Engineering and Computer Science at the University of New Mexico (UNM)

We propose a framework for measuring the productivity of high performance computing (HPC) systems, based on common economic definitions of productivity and on utility theory. We discuss how these definitions can capture essential aspects of HPC systems, such as the importance of time-to-solution and the trade-off between programming time and execution time. Finally, we outline a research program that would lead to the definition of effective productivity metrics for HPC that fit within the proposed framework.

Key Words: Productivity • High-performance computing • performance metrics • benchmarks

International Journal of High Performance Computing Applications, Vol. 18, No. 4, 417-432 (2004)
DOI: 10.1177/1094342004048535
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