Moore's Law
| dc.contributor.author | Domaille, S. | |
| dc.contributor.author | Hughes, J. | |
| dc.contributor.author | Metters, S. | |
| dc.contributor.author | Sharwin, J. | |
| dc.date.accessioned | 2019-05-16T15:44:56Z | |
| dc.date.available | 2019-05-16T15:44:56Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation |
Domaille, S., Hughes, J., Metters, S., and Sharwin, J. (2014) 'Moore's Law', The Plymouth Student Scientist, 7(2), p.185-194. | en_US |
| dc.identifier.issn | 1754-2383 | |
| dc.identifier.uri | http://hdl.handle.net/10026.1/14074 | |
| dc.description.abstract |
Moore’s law originally was the observation that the number of transistors on integrated circuits doubles roughly every 18 months. However, many other areas of technology progress with a similar exponential growth. For instance, can one find an analogous law in the context of super-computing? The aim of this paper is to answer this question by showing how a variant of Moore’s law emerges from an analysis of the “Top 500” lists of super computers from 1993 to 2013. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Plymouth | |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject | Moore’s law | en_US |
| dc.subject | super computers | en_US |
| dc.subject | technological progress | en_US |
| dc.title | Moore's Law | en_US |
| dc.type | Article | |
| plymouth.issue | 2 | |
| plymouth.volume | 7 | |
| plymouth.journal | The Plymouth Student Scientist |
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