Different task models have been proposed to represent the parallel structure of real-time
tasks executing on manycore platforms: fork/join, synchronous parallel, DAG-based, etc …

Autonomous vehicles (AVs) must drive across a variety of challenging environments that
impose continuously-varying deadlines and runtime-accuracy tradeoffs on their software …

Real-time scheduling and analysis of parallel tasks modeled as directed acyclic graphs
(DAG) have been intensively studied in recent years. However, no existing work has …

The study of parallel task models executed with predictable scheduling approaches is a
fundamental problem for real-time multiprocessor systems. Nevertheless, to date, limited …

Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-
cores, where each heavy task exclusively executes on a number of dedicated processors …

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 …

Several schedulability analyses have been proposed for a variety of parallel task systems
with real-time constraints. However, these analyses are mostly restricted to global …

A federated approach to the multiprocessor scheduling of systems of independent recurrent
tasks is considered, in which each task is either restricted to execute preemptively upon a …

One of the major sources of pessimism in the response time analysis of globally scheduled
real-time tasks is the computation of the upper-bound on the inter-task interference. This …

With the growth of computation-intensive real-time applications on multi-core embedded
systems, energy-efficient real-time scheduling becomes crucial. Multi-core processors …