Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …

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 …

Wireless Sensor Networks (WSNs) are prone to highly constrained resources, as a result
ensuring the proper functioning of the network is a requirement. Therefore, an effective WSN …

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 …

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 …

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 …

Deep learning is vulnerable to adversarial attacks, where carefully-crafted input
perturbations could mislead a well-trained Deep Neural Network (DNN) to produce incorrect …

Aggressive technology scaling and increased static and dynamic variability caused by
process, temperature, voltage, and aging effects make nanometer circuits prone to timing …

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 …