Book excerpt: Iterative methods are commonly used approaches to solve large, sparse linear systems, which are fundamental operations for many modern scientific simulations. When the large-scale iterative methods are running with a large number of ranks in parallel, they are anticipated to be more susceptible to soft errors in both logic circuits and memory subsystems and fail-stop errors in the entire system, considering large component counts and lower power margins of emerging high-performance computing (HPC) platforms.