Checkpoint and Restart: An Energy Consumption Characterization in Clusters
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910588620242944 |
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| author | Moran, Marina Balladini, Javier Rexachs, Dolores Luque, Emilio |
| author_facet | Moran, Marina Balladini, Javier Rexachs, Dolores Luque, Emilio |
| contents | The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution of the application. The objective of this work is to determine the factors that affect the energy consumption of the computing nodes on homogeneous cluster, when performing checkpoint and restart operations, on SPMD (Single Program Multiple Data) applications. We have focused on the energetic study of compute nodes, contemplating different configurations of hardware and software parameters. We studied the effect of performance states (states P) and power states (states C) of processors, application problem size, checkpoint software (DMTCP) and distributed file system (NFS) configuration. The results analysis allowed to identify opportunities to reduce the energy consumption of checkpoint and restart operations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_02214 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Checkpoint and Restart: An Energy Consumption Characterization in Clusters Moran, Marina Balladini, Javier Rexachs, Dolores Luque, Emilio Distributed, Parallel, and Cluster Computing The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution of the application. The objective of this work is to determine the factors that affect the energy consumption of the computing nodes on homogeneous cluster, when performing checkpoint and restart operations, on SPMD (Single Program Multiple Data) applications. We have focused on the energetic study of compute nodes, contemplating different configurations of hardware and software parameters. We studied the effect of performance states (states P) and power states (states C) of processors, application problem size, checkpoint software (DMTCP) and distributed file system (NFS) configuration. The results analysis allowed to identify opportunities to reduce the energy consumption of checkpoint and restart operations. |
| title | Checkpoint and Restart: An Energy Consumption Characterization in Clusters |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.02214 |