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 …

Many methods are available to detect silent errors in high-performance computing (HPC)
applications. Each comes with a given cost and recall (fraction of all errors that are actually …

This paper presents first the context and motivation for dealing with soft errors. In order to be
able to account for the various issues involved, a concerted reflection has been carried out …

Soft errors caused by ionizing radiation have emerged as a major concern for current
generation of CMOS technologies and the trend is expected to get worse. A significant …

Transient faults in future ICs turns to be a major consideration as the silicon process scales
down. In this paper we propose a new soft error detecting technique with low area overhead …

As technology trends keep pushing cell dimensions in semiconductors to smaller
geometries and higher densities, modern digital systems are increasingly becoming more …

State-of-the-art cyber-physical systems are increasingly deployed in harsh environments
with non-negligible soft error rates, such as aviation or search-and-rescue missions. State-of …

As the exascale era approaches, the increasing capacity of high-performance computing
(HPC) systems with targeted power and energy budget goals introduces significant …

Binary instrumentation facilitates the insertion of additional code into an executable in order
to observe or modify the executable's behavior. There are two main approaches to binary …

The scaling of Silicon devices has exacerbated the unreliability of modern computer
systems, and power constraints have necessitated the involvement of software in hardware …