Advancement of Cyber-Physical Systems has attracted attention to Mixed-Criticality Systems
(MCSs), both in research and in industrial designs. As multicore platforms are becoming the …

As the demand for high performance and computational complexity continue to increase in
embedded systems, reliability issues are becoming limiting factors on application scalability …

This paper presents a novel on-chip memory space utilization strategy for architectures that
accommodate large on-chip software-managed memories. In such architectures, the access …

In this paper, we present an approach to improve performance of multi-core embedded
architectures utilizing on-chip software-managed memory. The proposed approach targets …

The Transformer is a neural network architecture that was introduced in the paper Attention
is All You Need by Vaswani et al. in 2017 [294]. It fundamentally changed the way natural …

In this work, we propose a technique based on task recomputation in order to improve
reliability without incurring any performance degradation in embedded systems. The …

The unprecedented scaling of embedded devices and its undesirable consequences
leading to stochastic fault occurrences make reliability a critical design and optimization …

Considering the complexity of today's digital electronic systems, it is crucial to have open-
source electronic design automation (EDA) tools specifically developed for educational …

In this paper, we present a technique based on Matrix Model Computation (MMC) in order to
improve the performance of embedded systems that run data-intensive applications. Unlike …

In today's world, embedded systems run applications that process large amount of data. This
necessitates the development of new techniques in order to nun such applications more …