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Ralf Stemmer, Hai-Dang Vu, Sébastien Le Nours, Kim Grüttner, Sébastien Pillement and Wolfgang Nebel
Fast yet accurate performance and timing prediction of complex parallel data flow applications on multi-processor systems remains a very difficult discipline. The reason for it comes from the complexity of the data flow applications w.r.t. data dependent...
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Cornelius Steinbrink, Marita Blank-Babazadeh, André El-Ama, Stefanie Holly, Bengt Lüers, Marvin Nebel-Wenner, Rebeca P. Ramírez Acosta, Thomas Raub, Jan Sören Schwarz, Sanja Stark, Astrid Nieße and Sebastian Lehnhoff
The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplin...
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Nadia Ripari,Nebel Moscoso,María Elorza
Pág. 253 - 282
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Jeroen Geuens, Jennifer M. Kremsner, Bernd A. Nebel, Sigurd Schober, Roger A. Dommisse, Martin Mittelbach, Serge Tavernier, C. Oliver Kappe, and Bert U. W. Maes
Pág. 643 - 645
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R. Kasimanickam, V. Kasimanickam, C.D. Thatcher, R.L. Nebel and B.G. Ca
Pág. 1004 - 1012
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Weigel, T. Gutmann, J.-S. Dietl, M. Kleiner, A. Nebel, B.
Pág. 685 - 699
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Nebel, M. E.
Pág. 279 - 296
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