Resumen:
The fault tolerance method currently used in High Perfor-
mance Computing (HPC) is the rollback-recovery method by using check-
points. 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 per-
forming 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) config-
uration. The results analysis allowed to identify opportunities to reduce
the energy consumption of checkpoint and restart operations.
