Real-time computing plays a crucial role in our society since an increasing number of
complex systems rely, in part or completely, on computer control. Examples of applications …

This article presents a survey of energy-aware scheduling algorithms proposed for real-time
systems. The analysis presents the main results starting from the middle 1990s until today …

Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …

An apparatus and method are provided to perform constrained optimization of a constrained
property of an apparatus, which is complex due to having several components, and these …

This work studies energy-aware real-time scheduling of a set of sporadic Directed Acyclic
Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to …

The problem of minimizing energy for a performance constraint (eg, Real-time deadline or
quality-of-service requirement) has been widely studied, both in theory and in practice …

In this paper, we are interested in the design of real-time applications with security, safety,
timing, and energy requirements. The applications are scheduled with cyclic scheduling …

Power consumption is one of the most challenging issues in the design of modern
computing systems. In any computational device, processor consumes significant amount of …

The revolution of deep neural networks (DNNs) is enabling dramatically better autonomy in
autonomous driving. However, it is not straightforward to simultaneously achieve both timing …

In this work, we study energy-aware real-time scheduling of a set of sporadic Directed
Acyclic Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints …