Power Characterisation of Shared-Memory HPC Systems

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Energy consumption has become one of the greatest challenges in the field 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: Balladini, Javier, Rucci, Enzo, De Giusti, Armando Eduardo, Naiouf, Marcelo, Suppi, Remo, Rexachs del Rosario, Dolores, Luque Fadón, Emilio, Simari, Guillermo Ricardo, Pesado, Patricia Mabel
Formato: Libro Capitulo de libro
Lenguaje:Inglés
Publicado: Editorial de la Universidad Nacional de La Plata (EDULP) 2013
Materias:
Ciencias Informáticas
power characterisation
shared memory systems
microbenchmarks
green computing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/81224
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-81224
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
power characterisation
shared memory systems
microbenchmarks
green computing
spellingShingle Ciencias Informáticas
power characterisation
shared memory systems
microbenchmarks
green computing
Balladini, Javier
Rucci, Enzo
De Giusti, Armando Eduardo
Naiouf, Marcelo
Suppi, Remo
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
De Giusti, Armando Eduardo
Simari, Guillermo Ricardo
Pesado, Patricia Mabel
Power Characterisation of Shared-Memory HPC Systems
topic_facet Ciencias Informáticas
power characterisation
shared memory systems
microbenchmarks
green computing
description Energy consumption has become one of the greatest challenges in the field 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 finding of influence 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 find a more extended set of influence factors on power consumption.
format Libro
Capitulo de libro
author Balladini, Javier
Rucci, Enzo
De Giusti, Armando Eduardo
Naiouf, Marcelo
Suppi, Remo
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
De Giusti, Armando Eduardo
Simari, Guillermo Ricardo
Pesado, Patricia Mabel
author_facet Balladini, Javier
Rucci, Enzo
De Giusti, Armando Eduardo
Naiouf, Marcelo
Suppi, Remo
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
De Giusti, Armando Eduardo
Simari, Guillermo Ricardo
Pesado, Patricia Mabel
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
publisher Editorial de la Universidad Nacional de La Plata (EDULP)
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/81224
work_keys_str_mv AT balladinijavier powercharacterisationofsharedmemoryhpcsystems
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AT degiustiarmandoeduardo powercharacterisationofsharedmemoryhpcsystems
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bdutipo_str Repositorios
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