Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

High-performance computing (HPC) systems are growing more powerful by utilizing more
hardware components. As the system mean-time-before-failure correspondingly drops …

In this work, we introduce the new problem of finding time series discords. Time series
discords are subsequences of a longer time series that are maximally different to all the rest …

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 …

Let G_m*n be an m*n real random matrix whose elements are independent and identically
distributed standard normal random variables, and let \kappa_2(G_m*n) be the 2-norm …

Fail-stop failures in distributed environments are often tolerated by checkpointing or
message logging. In this paper, we show that fail-stop process failures in ScaLAPACK matrix …

The probability that a failure will occur before the end of the computation increases as the
number of processors used in a high performance computing application increases. For long …

In today's high performance computing practice, fail-stop failures are often tolerated by
checkpointing. While checkpointing is a very general technique and can often be applied to …

Reliability is a key challenge to be understood to turn the vision of exascale supercomputing
into reality. Inevitably, large-scale supercomputing systems, especially those at the …

As the size of today's high performance computers increases from hundreds, to thousands,
and even tens of thousands of processors, node failures in these computers are becoming …