On the Interpretation of Top500 Data

  • Authors:
  • Dror G. Feitelson

  • Affiliations:
  • Institute of Computer Science, Hebrew University of Jerusalem, Jerusalem, Israel

  • Venue:
  • International Journal of High Performance Computing Applications
  • Year:
  • 1999

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Abstract

A novel representation of Top500 data is proposed in which the systems are plotted in rank and number-of-processors coordinates. This rendering brings to light various trends, such as complete Japanese domination of the range of high rank achieved with a small number of processors. In addition, an evolutionary trend whereby the rank of a given machine doubles every year is identified. This, in turn, leads to a characterization of the distribution of computing power across the whole list.