Energy consumption is one of the major issues in today's computer science, and an
increasing number of scientific communities are interested in evaluating the tradeoff …

Chip manufacturers and hyperscalers are becoming increasingly aware of the problem
posed by Silent Data Errors (SDE) and are taking steps to address it. Major computing …

We empirically evaluate an undervolting technique, ie, underscaling the circuit supply
voltage below the nominal level, to improve the power-efficiency of Convolutional Neural …

Microprocessor power consumption and dependability are both crucial challenges that
designers have to cope with due to shrinking feature sizes and increasing transistor counts …

Silent Data Corruptions (SDCs) pose a significant threat to the integrity of digital systems.
These stealthy saboteurs silently corrupt data, remaining undetected by traditional error …

Embedded Systems are used in extreme conditions, often for long lifespans; as such,
ensuring hardware reliability is essential. Additionally, the applications of embedded …

Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory
bandwidth requirements. An HBM-enabled device consists of multiple DRAM layers stacked …

Silent data corruptions (SDCs) pose a significant challenge to the reliable operation of
modern microprocessors. As the need for enhanced performance and reliability continues to …

As deep neural networks (DNNs) have been successfully adopted in various domains, the
training of these large-scale models becomes increasingly difficult and is often deployed on …

Silent Data Corruptions (SDCs) due to defects in computing chips (CPUs, GPUs, AI
accelerators) is a critical threat to the quality of large-scale computing in different application …