This tutorial surveys design methods for energy-efficient system-level design. We consider
electronic sytems consisting of a hardware platform and software layers. We consider the …

Many scheduling techniques have been presented recently which exploit dynamic voltage
scaling (DVS) and dynamic power management (DPM) for both uniprocessors, and …

Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …

Reducing the energy footprint of warehouse-scale computer (WSC) systems is key to their
affordability, yet difficult to achieve in practice. The lack of energy proportionality of typical …

We address power-aware scheduling of periodic tasks to reduce CPU energy consumption
in hard real-time systems through dynamic voltage scaling. Our intertask voltage scheduling …

In this paper, we address the problem of partitioning periodic real-time tasks in a
multiprocessor platform by considering both feasibility and energy-awareness perspectives …

In this paper we address power-aware scheduling of periodic hard real-time tasks using
dynamic voltage scaling. Our solution includes three parts:(a) a static (off-line) solution to …

We address the problem of scheduling workflow applications on heterogeneous computing
systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a …

This paper presents a technique called" workload decomposition" in which the CPU
workload is decomposed in two parts: on-chip and off-chip. The on-chip workload signifies …

The emphasis on processors that are both low power and high performance has resulted in
the incorporation of dynamic voltage scaling into processor designs. This feature allows one …