Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems
Nowadays, improving the energy efficiency of high-performance com- puting (HPC) systems is one of the main drivers in scientific and techno- logical research. As large-scale HPC systems require some fault-tolerant method, the opportunities to reduce energy consumption should be ex- plored. In pa...
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Acceso en línea: | http://rdi.uncoma.edu.ar/handle/uncomaid/18119 |
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I22-R178-uncomaid-181192024-09-05T11:58:23Z Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems Morán, Marina Balladini, Javier Rexachs, Dolores Rucci, Enzo Energy saving Fault tolerance methods Checkpoint parallel Applications ACPI DVFS Ciencias de la Computación e Información Nowadays, improving the energy efficiency of high-performance com- puting (HPC) systems is one of the main drivers in scientific and techno- logical research. As large-scale HPC systems require some fault-tolerant method, the opportunities to reduce energy consumption should be ex- plored. In particular, rollback-recovery methods using uncoordinated checkpoints prevent all processes from re-executing when a failure oc- curs. In this context, it is possible to take actions to reduce the energy consumption of the nodes whose processes do not re-execute. This work is an extension of a previous one, in which we proposed a series of strategies to manage energy consumption at failure-time. In this work, we have en- riched our simulator and the experimentation by including non-blocking communications (with and without system buffering) and a largest num- ber of candidate processes to be analyzed. We have called the latter as cascade analysis, because it includes processes that gets blocked by com- munication indirectly with the failed process. The simulations show that the savings were negligible in the worst case, but in some scenarios, it was possible to achieve significant ones; the maximum saving achieved was 90% in a time interval of 16 minutes. As a result, we show the feasibility of improving energy efficiency in HPC systems in the presence of a failure Fil: Morán, Marina. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Computadoras; Argentina. Fil: Balladini, Javier. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Computadoras; Argentina. Fil: Rexachs, Dolores. Universidad Autónoma de Barcelona. Departamento Arquitectura de Computadores y Sistemas Operativos; España. Fil: Rucci, Enzo. Universidad Nacional de La Plata. Facultad de Informática; Argentina. 2024 2024-09-04T15:39:28Z 2024-09-04T15:39:28Z Articulo article acceptedVersion http://rdi.uncoma.edu.ar/handle/uncomaid/18119 eng https://doi.org/10.1016/j.jpdc.2023.104797 Atribución-NoComercial-CompartirIgual 2.5 Argentina https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ application/pdf pp. 1-36 application/pdf Elsevier Journal of Parallel and Distributed Computing Volume 185, March 2024 |
institution |
Universidad Nacional del Comahue |
institution_str |
I-22 |
repository_str |
R-178 |
collection |
Repositorio Institucional UNCo |
language |
Inglés |
topic |
Energy saving Fault tolerance methods Checkpoint parallel Applications ACPI DVFS Ciencias de la Computación e Información |
spellingShingle |
Energy saving Fault tolerance methods Checkpoint parallel Applications ACPI DVFS Ciencias de la Computación e Información Morán, Marina Balladini, Javier Rexachs, Dolores Rucci, Enzo Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
topic_facet |
Energy saving Fault tolerance methods Checkpoint parallel Applications ACPI DVFS Ciencias de la Computación e Información |
description |
Nowadays, improving the energy efficiency of high-performance com-
puting (HPC) systems is one of the main drivers in scientific and techno-
logical research. As large-scale HPC systems require some fault-tolerant
method, the opportunities to reduce energy consumption should be ex-
plored. In particular, rollback-recovery methods using uncoordinated
checkpoints prevent all processes from re-executing when a failure oc-
curs. In this context, it is possible to take actions to reduce the energy
consumption of the nodes whose processes do not re-execute. This work is
an extension of a previous one, in which we proposed a series of strategies
to manage energy consumption at failure-time. In this work, we have en-
riched our simulator and the experimentation by including non-blocking
communications (with and without system buffering) and a largest num-
ber of candidate processes to be analyzed. We have called the latter as
cascade analysis, because it includes processes that gets blocked by com-
munication indirectly with the failed process. The simulations show that
the savings were negligible in the worst case, but in some scenarios, it was
possible to achieve significant ones; the maximum saving achieved was
90% in a time interval of 16 minutes. As a result, we show the feasibility
of improving energy efficiency in HPC systems in the presence of a failure |
format |
Articulo article acceptedVersion |
author |
Morán, Marina Balladini, Javier Rexachs, Dolores Rucci, Enzo |
author_facet |
Morán, Marina Balladini, Javier Rexachs, Dolores Rucci, Enzo |
author_sort |
Morán, Marina |
title |
Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
title_short |
Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
title_full |
Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
title_fullStr |
Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
title_full_unstemmed |
Exploring Energy Saving Opportunities in Fault Tolerant HPC Systems |
title_sort |
exploring energy saving opportunities in fault tolerant hpc systems |
publisher |
Elsevier |
publishDate |
2024 |
url |
http://rdi.uncoma.edu.ar/handle/uncomaid/18119 |
work_keys_str_mv |
AT moranmarina exploringenergysavingopportunitiesinfaulttoleranthpcsystems AT balladinijavier exploringenergysavingopportunitiesinfaulttoleranthpcsystems AT rexachsdolores exploringenergysavingopportunitiesinfaulttoleranthpcsystems AT ruccienzo exploringenergysavingopportunitiesinfaulttoleranthpcsystems |
_version_ |
1823260095150030848 |