Marina Moran, Javier Balladini, Dolores Rexachs, Emilio Luque
{"title":"检查点和重启:集群中的能耗特征分析","authors":"Marina Moran, Javier Balladini, Dolores Rexachs, Emilio Luque","doi":"arxiv-2409.02214","DOIUrl":null,"url":null,"abstract":"The fault tolerance method currently used in High Performance Computing (HPC)\nis the rollback-recovery method by using checkpoints. This, like any other\nfault tolerance method, adds an additional energy consumption to that of the\nexecution of the application. The objective of this work is to determine the\nfactors that affect the energy consumption of the computing nodes on\nhomogeneous cluster, when performing checkpoint and restart operations, on SPMD\n(Single Program Multiple Data) applications. We have focused on the energetic\nstudy of compute nodes, contemplating different configurations of hardware and\nsoftware parameters. We studied the effect of performance states (states P) and\npower states (states C) of processors, application problem size, checkpoint\nsoftware (DMTCP) and distributed file system (NFS) configuration. The results\nanalysis allowed to identify opportunities to reduce the energy consumption of\ncheckpoint and restart operations.","PeriodicalId":501422,"journal":{"name":"arXiv - CS - Distributed, Parallel, and Cluster Computing","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Checkpoint and Restart: An Energy Consumption Characterization in Clusters\",\"authors\":\"Marina Moran, Javier Balladini, Dolores Rexachs, Emilio Luque\",\"doi\":\"arxiv-2409.02214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fault tolerance method currently used in High Performance Computing (HPC)\\nis the rollback-recovery method by using checkpoints. This, like any other\\nfault tolerance method, adds an additional energy consumption to that of the\\nexecution of the application. The objective of this work is to determine the\\nfactors that affect the energy consumption of the computing nodes on\\nhomogeneous cluster, when performing checkpoint and restart operations, on SPMD\\n(Single Program Multiple Data) applications. We have focused on the energetic\\nstudy of compute nodes, contemplating different configurations of hardware and\\nsoftware parameters. We studied the effect of performance states (states P) and\\npower states (states C) of processors, application problem size, checkpoint\\nsoftware (DMTCP) and distributed file system (NFS) configuration. The results\\nanalysis allowed to identify opportunities to reduce the energy consumption of\\ncheckpoint and restart operations.\",\"PeriodicalId\":501422,\"journal\":{\"name\":\"arXiv - CS - Distributed, Parallel, and Cluster Computing\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Distributed, Parallel, and Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.02214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Distributed, Parallel, and Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.02214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Checkpoint and Restart: An Energy Consumption Characterization in Clusters
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.