On the interpretation of Top500 data

Dror G. Feitelson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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.

Original languageAmerican English
Pages (from-to)146-153
Number of pages8
JournalInternational Journal of High Performance Computing Applications
Issue number2
StatePublished - 1999


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