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 …

Silent data corruption (SDC) and fail-stop errors are the most hazardous error types in high-
performance computing (HPC) systems. In this study, we present an automatic, efficient and …

Handling faults is a growing concern in HPC; higher error rates, larger detection intervals
and silent faults are expected in the future. It is projected that, in exascale systems, errors …

In this work we propose partial task replication and checkpointing for task-parallel HPC
applications to mitigate silent data corruption (SDC) errors. As the complete replication of all …

This work focuses on resilience techniques at extreme scale. Many papers deal with fail-stop
errors. Many others deal with silent errors (or silent data corruptions). But very few papers …

This paper revisits the failure 1 temporal independence hypothesis which is omnipresent in
the analysis of resilience methods for HPC. We explain why a previous approach is …

Requirements for reliability, low power consumption, and performance place complex and
conflicting demands on the design of high-performance computing (HPC) systems. Fault …

Today's largest High Performance Computing (HPC) systems exceed one Petaflops (10^ 15)
floating point operations per second) and exascale systems are projected within seven …

Cloud computing is continuously increasing its popularity as key features such as scalability,
pay-per-use and availability continue to evolve. It is also becoming a competitive platform for …

The silent data corruption (SDC) problem is attracting more and more attentions because it
is expected to have a great impact on exascale HPC applications. SDC faults are hazardous …