Graphics Processing Units (GPUs) are widely used by various applications in a broad
variety of fields to accelerate their computation but remain susceptible to transient hardware …

With the ever-shrinking size of transistors, silent data corruptions (SDCs) are becoming a
common yet serious issue in HPC. Selective instruction duplication (SID) is a widely used …

Due to the increasing scale of high-performance computing (HPC) systems, transient
hardware faults have become a major reliability concern. Consequently, Silent Data …

Transient hardware faults have become prevalent due to the shrinking size of transistors,
leading to silent data corruptions (SDCs). Therefore, HPC applications need to be evaluated …

The wide use of GPUs for general-purpose computations as well as graphics programs
makes soft errors a critical concern. Evaluating the soft error vulnerability of GPGPU …

GPU memory corruption and in particular double-bit errors (DBEs) remain one of the least
understood aspects of HPC system reliability. Albeit rare, their occurrences always lead to …

Graphics Processing Units (GPUs) have become the default choice of acceleration in a wide
range of application domains. To keep up with computational demands, the GPU memory …

Convolutional neural networks (CNN) are incorporated into many image-based tasks across
a variety of domains. Some of these are safety critical tasks such as object …

Silent Data Corruptions (SDCs) have become an insurmountable issue that threatens the
system reliability. General strategies for protecting programs from SDCs, such as dual …

Graphics Processing Units (GPUs) are widely de-ployed and utilized across various
computing domains including cloud and high-performance computing. Considering its …