On the interpretation of Top500 data

Dror G. Feitelson

doi:10.1177/109434209901300204

On the interpretation of Top500 data

Dror G. Feitelson^*

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Pages (from-to)	146-153
Number of pages	8
Journal	International Journal of High Performance Computing Applications
Volume	13
Issue number	2
DOIs	https://doi.org/10.1177/109434209901300204
State	Published - 1999

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On the interpretation of Top500 data

Abstract

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