This paper presents a method to protect iterative solvers from Detected and Uncorrected
Errors (DUE) relying on error detection techniques already available in commodity …

Soft errors are one-time events that corrupt the state of a computing system but not its overall
functionality. Large supercomputers are especially susceptible to soft errors because of their …

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 …

The advent of extreme scale machines will require the use of parallel resources at an
unprecedented scale, probably leading to a high rate of hardware faults. High Performance …

We propose a block Krylov subspace version of the GCRO-DR method proposed in [Parks et
al. SISC 2005], which is an iterative method allowing for the efficient minimization of the the …

As the computational power of high‐performance computing systems continues to increase
by using a huge number of cores or specialized processing units, high‐performance …

Popular accelerator programming models rely on offloading computation operations and
their corresponding data transfers to the coprocessors, leveraging synchronization points …

In an era where we can not afford to checkpoint frequently, replication is a generic way
forward to construct numerical simulations that can continue to run even if hardware parts …

Application resilience is a key challenge that has to be addressed to realize the exascale
vision. Online recovery, even when it involves all processes, can dramatically reduce the …

Due to increasing complexity of supercomputers, hard and soft errors are causing more and
more problems in high-performance scientific and engineering computation. In order to …