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 …

Reliability is a serious concern for future extreme-scale high-performance computing (HPC)
systems. While the HPC community has developed various resilience solutions, the solution …

The scaling of semiconductor technology and increasing power concerns combined with
system scale make fault management a growing concern in high performance computing …

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

Exascale studies project reliability challenges for future high-performance computing (HPC)
systems. We propose the Global View Resilience (GVR) system, a library that enables …

Every computation presents a small chance that an unexpected phenomenon ruins or
modifies its output. Computers are prone to errors that, although may be very unlikely, are …

In this paper, we analyze the potential of asynchronous relaxation methods on Graphics
Processing Units (GPUs). We develop asynchronous iteration algorithms in CUDA and …

In this document, we develop a structured approach to the management of HPC resilience
based on the concept of resilience-based design patterns. A design pattern is a general …

We analyse novel fault tolerance schemes for data loss in multigrid solvers, which
essentially combine ideas of checkpoint-restart with algorithm-based fault tolerance. To …

The exponential growth of computational power of the extreme scale machines over the past
few decades has led to a corresponding decrease in reliability and a sharp increase of the …