This Advanced Introduction provides a critical review and discussion of research concerning
spatial statistics, differentiating between it and spatial econometrics, to answer a set of core …

In this paper we propose a runtime-based selective task replication technique for task-
parallel high performance computing applications. Our selective task replication technique is …

In this paper, we present a non-parametric dataanalytic soft-error detector. Our detector uses
the key properties of Gaussian process regression. First, because Gaussian process …

We present FPDetect, a low-overhead approach for detecting logical errors and soft errors
affecting stencil computations without generating false positives. We develop an offline …

As machines increase in scale, it is predicted that failure rates of supercomputers will
correspondingly increase. Even though the mean time to failure (MTTF) of individual …

With ever-increasing execution scale of parallel scientific simulations, potential unnoticed
corruptions to scientific data during simulation make users more suspicious about the …

As high performance computing (HPC) systems continue to grow, their fault rate increases.
Applications running on these systems have to deal with rates on the order of hours or days …

Soft errors caused by transient bit flips have the potential to significantly impactan
applicalion's behavior. This has motivated the design of an array of techniques to detect …

Hardware errors become more common as silicon technologies shrink and become more
vulnerable, especially in memory cells, which are the most exposed to errors. Permanent …

We present FailAmp, a novel LLVM program transformation algorithm that makes programs
employing structured index calculations more robust against soft errors. Without FailAmp, an …