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Mapping and scheduling hard real time applications on multicore systems - the ARGO approach

: Alefragis, P.; Theodoridis, G.; Katsimpris, M.; Valouxis, C.; Gogos, C.; Goulas, G.; Voros, N.; Reder, S.; Kasnakli, K.; Bednara, M.; Müller, D.; Durak, U.; Becker, J.


Voros, N.:
Applied reconfigurable computing. Architectures, tools, and applications : 14th International Symposium, ARC 2018, Santorini, Greece, May 2-4, 2018; Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 10824)
ISBN: 978-3-319-78889-0 (Print)
ISBN: 978-3-319-78890-6 (Online)
ISBN: 3-319-78889-2
International Applied Reconfigurable Computing Symposium (ARC) <14, 2018, Santorini>
Conference Paper
Fraunhofer IIS ()

Using multi-core architectures for embedded time-critical systems creates a big challenge for developers due to the complexity of the underline mapping and scheduling problem. H2020 ARGO project [2] proposes a tool flow to minimize multi-core applications development time while guaranteeing real-time performance. In this paper, we provide an overview of ARGO tool flow and we focus on the heuristic approach of solving the worst case execution time aware (WCET) mapping and scheduling problem on hierarchical task graphs. Examples from two real applications from the aerospace and image processing domains are presented.