Real-time systems need time-predictable platforms to allow static analysis of the worst-case
execution time (WCET). Standard multi-core processors are optimized for the average case …

Hard real-time embedded systems employ high-capacity memories such as Dynamic RAMs
(DRAMs) to cope with increasing data and code sizes of modern designs. However, memory …

This survey reviews the scientific literature on techniques for reducing interference in real-
time multicore systems, focusing on the approaches proposed between 2015 and 2020. It …

Mixed-criticality systems, in which multiple tasks of varying criticality execute on a single
hardware platform, are an emerging research area in real-time embedded systems. High …

This paper presents an approach for hosting a representative avionic function on a
distributed-memory mul-ticore COTS architecture. This approach was developed in …

Unarbitrated contention over shared resources at different levels of the memory hierarchy
represents a major source of temporal interference. Hardware manufacturers are …

A large class of embedded systems is distinguished from general-purpose computing
systems by the need to satisfy strict requirements on timing, often under constraints on …

Deep neural network compression has the potential to bring modern resource-hungry deep
networks to resource-limited devices. However, in many of the most compelling deployment …

Current processors provide high average-case performance, as they are optimized for
general purpose computing. However, those optimizations often lead to a high worst-case …

Commercial Off-The-Shelf (COTS) processors are now commonly used in real-time
embedded systems. The characteristics of these processors fulfill system requirements in …