Towards Building Resilient Scientific Applications: Resilience Analysis on the Impact of Soft Error and Transient Error Tolerance with the CLAMR Hydrodynamics Mini-App

Abstract

In this paper, we present a resilience analysis of the impact of soft errors on CLAMR, a hydrodynamics miniapp for high performance computing (HPC). Leveraging the conservation of mass law, we design a fault detection mechanism and checkpoint/restart fault tolerance approach to enhance the resilience of CLAMR. Overall, our approach can detect up to 88.3% of faults that propagate into SDC or crashes with minimal (less than 1%) overhead for the optimal configuration. We show that CLAMR's fault-tolerance depends on when a fault is injected into the simulation and we also evaluate the frequency of detection and checkpointing on performance.