Application-Level Resilience Modeling for HPC Fault Tolerance

Understanding the application resilience in the presence of faults is critical to address the HPC resilience challenge. Currently we largely rely on random fault injection (RFI) to quantify the application resilience. However, RFI provides liŠle information on how fault tolerance happens, and RFI results are o‰en not deterministic due to its random nature. In this paper, we introduce a new methodology to quantify the application resilience. Our methodology is based on the observation that at the application level, the application resilience to faults is due to the application-level fault masking. Œe application-level fault masking happens because of application-inherent semantics and program constructs. Based on this observation, we analyze application execution information and use a data-oriented approach to model the application resilience. We use our model to study how and why HPC applications can (or cannot) tolerate faults. We demonstrate tangible bene€ts of using the model to direct fault tolerance mechanisms.