Crosstalk-aware link power model for Networks-on-Chip

Erwan Moréac 1 André Rossi 2 Johann Laurent 1 Pierre Bomel 1
1 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Networks-on-Chip (NoCs) are recognized as the solution to address the communication bottleneck in Multiprocessor System-on-Chip (MPSoC). As the NoC represents a significant part of the system power consumption, MPSoC designers expect accurate power models in order to produce energy efficient systems. Nowadays, NoC simulators rely on power models that integrate link models without crosstalk modeling. In this work, we present a link power model with crosstalk modeling embedded in a NoC simulator. We show that the crosstalk effect has a deep impact on NoC energy consumption since our results demonstrate that classical models generate errors up to 45.5% on the whole NoC energy consumption estimation.
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https://hal.archives-ouvertes.fr/hal-01525083
Contributeur : Erwan Moréac <>
Soumis le : vendredi 19 mai 2017 - 14:25:47
Dernière modification le : jeudi 11 janvier 2018 - 06:26:38

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Erwan Moréac, André Rossi, Johann Laurent, Pierre Bomel. Crosstalk-aware link power model for Networks-on-Chip. DASIP, Oct 2016, Rennes, France. 2017, 〈10.1109/DASIP.2016.7853807〉. 〈hal-01525083〉

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