MAPS: Mapping concurrent dataflow applications to heterogeneous MPSoCs
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Today's embedded systems are powered by heterogeneous Multi-Processor Systems on Chip (MPSoCs) in order to cope with the increasing applications demands and the tight energy budget of portable devices. The complexity of these systems makes them difficult to program, which has caused academia and industry to look for alternative methodologies and models. In the particular case of multimedia and baseband processing, dataflow models are being proposed and appear to be a sensible choice to represent applications.
Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 527-545 |
| Seitenumfang | 19 |
| Fachzeitschrift | IEEE transactions on industrial informatics |
| Jahrgang | 9 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2013 |
| Peer-Review-Status | Ja |
| Extern publiziert | Ja |
Externe IDs
| ORCID | /0000-0002-5007-445X/work/141545593 |
|---|
Schlagworte
Forschungsprofillinien der TU Dresden
- Informationstechnologien und Mikroelektronik - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
ASJC Scopus Sachgebiete
- Steuerungs- und Systemtechnik - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
- Information systems - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
- Angewandte Informatik - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
- Elektrotechnik und Elektronik - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
Schlagwörter
- Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling
Bibliotheksschlagworte
- 004 Informatik - Composability, dataflow graphs, hardware scheduler, heterogeneous, mapping, MPSoC, real-time, scheduling