Power characterisation of shared-memory hpc systems
Energy consumption has become one of the greatest challenges in the eld of High Performance Computing (HPC). Besides its impact on the environment, energy is a limiting factor for the HPC. Keeping the power consumption of a system below a threshold is one of the great problems; and power predictio...
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Autores principales: | , , , , , , |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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2012
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/23630 |
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I19-R120-10915-23630 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas Power Characterisation Shared-Memory HPC Systems Distributed Parallel |
spellingShingle |
Ciencias Informáticas Power Characterisation Shared-Memory HPC Systems Distributed Parallel Balladini, Javier Rucci, Enzo De Giusti, Armando Eduardo Naiouf, Marcelo Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio Power characterisation of shared-memory hpc systems |
topic_facet |
Ciencias Informáticas Power Characterisation Shared-Memory HPC Systems Distributed Parallel |
description |
Energy consumption has become one of the greatest challenges in the eld of High Performance Computing (HPC). Besides its impact on the environment, energy is a limiting factor for the HPC.
Keeping the power consumption of a system below a threshold is one of the great problems; and power prediction can help to solve it. The power characterisation can be used to know the power behaviour of the system under study, and to be a support to reach the power prediction. Furthermore, it could be used to design power-aware application programs.
In this article we propose a methodology to characterise the power consumption of shared-memory HPC systems. Our proposed methodology involves the nding of in uence factors on power consumed by the systems.
It is similar to previous works, but we propose an in-deep approach that can help us to get a better power characterisation of the system. We apply our methodology to characterise an Intel server platform and the results show that we can nd a more extended set of in uence factors on power consumption. |
format |
Objeto de conferencia Objeto de conferencia |
author |
Balladini, Javier Rucci, Enzo De Giusti, Armando Eduardo Naiouf, Marcelo Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio |
author_facet |
Balladini, Javier Rucci, Enzo De Giusti, Armando Eduardo Naiouf, Marcelo Suppi, Remo Rexachs del Rosario, Dolores Luque Fadón, Emilio |
author_sort |
Balladini, Javier |
title |
Power characterisation of shared-memory hpc systems |
title_short |
Power characterisation of shared-memory hpc systems |
title_full |
Power characterisation of shared-memory hpc systems |
title_fullStr |
Power characterisation of shared-memory hpc systems |
title_full_unstemmed |
Power characterisation of shared-memory hpc systems |
title_sort |
power characterisation of shared-memory hpc systems |
publishDate |
2012 |
url |
http://sedici.unlp.edu.ar/handle/10915/23630 |
work_keys_str_mv |
AT balladinijavier powercharacterisationofsharedmemoryhpcsystems AT ruccienzo powercharacterisationofsharedmemoryhpcsystems AT degiustiarmandoeduardo powercharacterisationofsharedmemoryhpcsystems AT naioufmarcelo powercharacterisationofsharedmemoryhpcsystems AT suppiremo powercharacterisationofsharedmemoryhpcsystems AT rexachsdelrosariodolores powercharacterisationofsharedmemoryhpcsystems AT luquefadonemilio powercharacterisationofsharedmemoryhpcsystems |
bdutipo_str |
Repositorios |
_version_ |
1764820466050007041 |