APP4MC: Application platform project for multi- and many-core systems
Autor(en):
Zusammenfassung
Since especially the automotive domain increasingly utilizes multi- and many-core systems, appropriate models, analyses, and tooling are required to address challenges that were nearly non existent so far. APP4MC is an open source Eclipse platform that provides AUTOSAR compliant common data models namely AMALTHEA, basic parallelization features, visualizations, and the great possibility to add any existing tooling. For example, Eclipse Capra can be added to provide comprehensive traceability throughout the development processes but any proprietary, commercial, open-source, or prototypical implementations can be integrated. The platform enables the creation and management of complex tool chains including performance simulation and validation. The entire community benefits from reduced hardware costs, faster time to market, higher quality systems, and rapid adoption. APP4MC is not retricted to the automotive domain and utilizable in robotics or generic real-time systems as well.
- Vollständige Referenz
- BibTeX
Höttger, R., Mackamul, H., Sailer, A., Steghöfer, J.-P. & Tessmer, J.,
(2017).
APP4MC: Application platform project for multi- and many-core systems.
it - Information Technology: Vol. 59, No. 5.
Berlin:
De Gruyter.
(S. 243-252).
DOI: 10.1515/itit-2017-0019
@article{mci/Höttger2017,
author = {Höttger, Robert AND Mackamul, Harald AND Sailer, Andreas AND Steghöfer, Jan-Philipp AND Tessmer, Jörg},
title = {APP4MC: Application platform project for multi- and many-core systems},
journal = {it - Information Technology},
volume = {59},
number = {5},
year = {2017},
,
pages = { 243-252 } ,
doi = { 10.1515/itit-2017-0019 }
}
author = {Höttger, Robert AND Mackamul, Harald AND Sailer, Andreas AND Steghöfer, Jan-Philipp AND Tessmer, Jörg},
title = {APP4MC: Application platform project for multi- and many-core systems},
journal = {it - Information Technology},
volume = {59},
number = {5},
year = {2017},
,
pages = { 243-252 } ,
doi = { 10.1515/itit-2017-0019 }
}
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Mehr Information
ISSN: 1611-2776
Datum: 2017
Sprache:
(en)
(en)
Typ: Text/Journal Article

