Title | ||
---|---|---|
Mapping and Scheduling Hard Real Time Applications on Multicore Systems - The ARGO Approach. |
Abstract | ||
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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. |
Year | Venue | Field |
---|---|---|
2018 | ARC | Heuristic,Worst-case execution time,Job shop scheduling,Scheduling (computing),Computer science,Image processing,Real-time computing,Model-based design,Integer programming,Heuristics |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
11 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Panayiotis Alefragis | 1 | 120 | 14.33 |
George Theodoridis | 2 | 10 | 1.91 |
Merkourios Katsimpris | 3 | 0 | 0.34 |
Christos Valouxis | 4 | 0 | 0.34 |
Christos Gogos | 5 | 80 | 6.25 |
George Goulas | 6 | 57 | 5.93 |
Nikolaos S. Voros | 7 | 78 | 24.59 |
Simon Reder | 8 | 16 | 3.11 |
Koray Kasnakli | 9 | 0 | 0.68 |
Marcus Bednara | 10 | 2 | 0.73 |
David Müller | 11 | 0 | 0.68 |
Umut Durak | 12 | 23 | 8.03 |
Jürgen Becker | 13 | 1894 | 259.42 |