Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer-Reference-Cited by-同舟云学术

Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer

Published:2014-08-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 international symposium on Low power electronics and design
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Author:

Fraternali Francesco¹,Bartolini Andrea¹,Cavazzoni Carlo²,Tecchiolli Giampietro³,Benini Luca¹

Affiliation:

1. University of Bologna, Bologna, Italy

2. SCAI, CINECA,, Bologna, Italy

3. Eurotech SpA,, Amaro, Italy

Funder

Seventh Framework Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2627369.2627659

Reference20 articles.

1. Visit to the National University for Defense Technology Changsha, China. Technical report;Dongarra J.;University of Tennessee,2013

2. Top500 supercomputer sites;Dongarra J. J.;Supercomputer,1997

3. The Green500 List: Encouraging Sustainable Supercomputing

4. K. Bergman etal Exascale computing study: Technology challenges in achieving exascale systems. Tech rep 09 2008. K. Bergman et al. Exascale computing study: Technology challenges in achieving exascale systems. Tech rep 09 2008.

5. Impact of die-to-die and within-die parameter fluctuations on the maximum clock frequency distribution for gigascale integration

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