Exascale systems will present considerable fault-tolerance challenges to applications and
system software. These systems are expected to suffer several hard and soft errors per day …

Energy increasingly constrains modern computer hardware, yet protecting computations and
data against errors costs energy. This holds at all scales, but especially for the largest …

The growth in the number of computational resources used by high-performance computing
(HPC) systems leads to an increase in failure rates. Fault-tolerant techniques will become …

Supercomputing systems today often come in the form of large numbers of commodity
systems linked together into a computing cluster. These systems, like any distributed system …

As technology scales ever further, device unreliability is creating excessive complexity for
hardware to maintain the illusion of perfect operation. In this paper, we consider whether …

We discuss the design and implementation of Egida, an object-oriented toolkit designed to
support transparent rollback-recovery. Egida exports a simple specification language that …

Resilience is a major challenge for large-scale systems. It is particularly important for
iterative linear solvers, since they take much of the time of many scientific applications. We …

Scaling supercomputers comes with an increase in failure rates due to the increasing
number of hardware components. In standard practice, applications are made resilient …

As the size of large-scale computer systems increases, their mean-time-between-failures are
becoming significantly shorter than the execution time of many current scientific applications …

Emerging high-performance computing platforms, with large component counts and lower
power margins, are anticipated to be more susceptible to soft errors in both logic circuits and …