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

Today more than ever before, academia, manufacturers, and hyperscalers acknowledge the
major challenge of silent data corruptions (SDCs) and aim on solutions to minimize its …

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

Out-of-order speculation, a technique ubiquitous since the early 1990s, remains a
fundamental security flaw. Via attacks such as Spectre and Meltdown, an attacker can trick a …

Abstract Cloud Computing Systems (CCSs) provides a computing capability through the
Internet. It enables organizations or individuals to have a computing power without …

Energy-efficient computing uses power management techniques such as frequency scaling
to save energy. Implementing energy-efficient techniques on large-scale computing systems …

Multi-tenancy for latency-critical applications leads to resource interference and
unpredictable performance. Core reconfiguration opens up more opportunities for …

Modern large-scale computing systems (data centers, supercomputers, cloud and edge
setups and high-end cyber-physical systems) employ heterogeneous architectures that …

This paper investigates the exploitation of heterogeneous DVFS (dynamic voltage frequency
scaling) control for improving the energy efficiency of data-parallel applications on ccNUMA …

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