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Handling faults is a growing concern in HPC. In future exascale systems, itis projected that silent undetected errors will occur several times a day,increasing the occurrence of corrupted results. In this article, we proposeSEDAR, which is a methodology that improves system reliability againsttransient faults when running parallel message-passing applications. Ourapproach, based on process replication for detection, combined with differentlevels of checkpointing for automatic recovery, has the goal of helping usersof scientific applications to obtain executions with correct results. SEDAR isstructured in three levels: (1) only detection and safe-stop with notification;(2) recovery based on multiple system-level checkpoints; and (3) recovery basedon a single valid user-level checkpoint. As each of these variants supplies aparticular coverage but involves limitations and implementation costs, SEDARcan be adapted to the needs of the system. In this work, a description of themethodology is presented and the temporal behavior of employing each SEDARstrategy is mathematically described, both in the absence and presence offaults. A model that considers all the fault scenarios on a test application isintroduced to show the validity of the detection and recovery mechanisms. Anoverhead evaluation of each variant is performed with applications involvingdifferent communication patterns; this is also used to extract guidelines aboutwhen it is beneficial to employ each SEDAR protection level. As a result, weshow its efficacy and viability to tolerate transient faults in target HPCenvironments.

Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing