A framework for measuring supercomputer productivity

Marc Snir, David A. Bader

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)417-432
Number of pages16
JournalInternational Journal of High Performance Computing Applications
Issue number4
StatePublished - Dec 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture


  • Benchmarks
  • High-performance computing
  • Performance metrics
  • Productivity


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