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In this work we propose partial task replication and check-pointing for task-parallel HPC applications to mitigate silent data corruption (SDC) errors. As the complete replication of all application tasks can be prohibitive due to resource costs, we introduce programmer-directed selective replication mechanism to provide fault-tolerance while decreasing costs. Results show that our scheme detects and corrects around 65% of SDC errors with only 4% overhead on average.Peer ReviewedPostprint (published version

Abstract-Fail-stop errors and Silent Data Corruptions (SDCs) are the most common failure modes for High Performance Computing (HPC) applications. There are studies that address fail-stop errors and studies that address SDCs. However few studies address both types of errors together. In this paper we propose a software-based selective replication technique for HPC applications for both fail-stop errors and SDCs. Since complete replication of applications can be costly in terms of resources, we develop a runtime-based technique for selective replication. Selective replication provides an opportunity to meet HPC reliability targets while decreasing resource costs. Our technique is low-overhead, automatic and completely transparent to the user.