Approximate computing has gained research attention recently as a way to increase energy
efficiency and/or performance by exploiting some applications' intrinsic error resiliency …

In this paper, we revisit the system vulnerability stack for transient faults. We reveal severe
pitfalls in widely used vulnerability measurement approaches, which separate the hardware …

Approximate computing can be employed for an emerging class of applications from various
domains such as multimedia, machine learning and computer vision. The approximated …

Recent studies have shown that technology and voltage scaling are expected to increase
the likelihood that particle-induced soft errors manifest as multiple-bit errors. This raises …

We propose AVGI, a new Statistical Fault Injection (SFI)-based methodology, which delivers
orders of magnitude faster assessment of the Architectural Vulnerability Factor (AVF) of a …

Today, soft errors are one of the major design technology challenges at and beyond the
22nm technology nodes. This article introduces the soft error problem from the perspective …

Reduction in leakage power has become an important concern in low voltage, low power
and high performance applications. In this paper, we use dual threshold technique to reduce …

Approximate computing environments trade off computational accuracy for improvements in
performance, energy, and resiliency cost. For widespread adoption of approximate …

Fault injection on micro architectural structures modeled in performance simulators is an
effective method for the assessment of microprocessors reliability in early design stages …

This paper presents IPAS, an instruction duplication technique that protects scientific
applications from silent data corruption (SDC) in their output. The motivation for IPAS is that …