Radiation-induced soft errors are one of the most challenging issues in Safety Critical Real-
Time Embedded System (SACRES) reliability, usually handled using different flavors of …

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

Data reduction techniques have been widely demanded and used by large-scale high
performance computing (HPC) applications because of vast volumes of data to be produced …

Understanding the impact of soft errors on applications can be expensive. Often, it requires
an extensive error injection campaign involving numerous runs of the full application in the …

The resilience behavior of three GMRES prototyped implementations (with Incomplete LU,
Flexible and randomized-SVD—based preconditioners) has been analyzed with a soft …

We propose a new way to detect and correct silent errors in the conjugate gradient
algorithm. The detection criterion is simple, cheap to implement, and can be used at each …

Detecting transient faults in safety-critical neural network (NN) applications operated on
embedded systems has become a concern, but it is challenging to achieve high accuracy …

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 …

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 …

Extremely large scale scientific simulation applications have been very important in many
scientific domains including cosmology, climate, fluid dynamics, chemistry and so on. It has …