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Bit-accurate energy estimation for Networks-on-Chip
Affiliation:1. Lab-STICC, University of South-Brittany, Lorient, 56100, France;2. LERIA, Computer Science Department, University of Angers, 2 boulevard de Lavoisier, Angers Cedex 01 49045, France;1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad 500 046, India;2. Université d’Angers, LERIA, 2 boulevard Lavoisier, 49045 Angers Cedex 01, France;3. Université de Bretagne-Sud, Lab-STICC, UMR 6285, CNRS, BP 92116, 56321 Lorient Cedex, France;1. LERIA, Université d’Angers, 2 Bd Lavoisier, Cedex 01, 49045 Angers, France;2. Institut Universitaire de France, Paris, France;1. GEROM Groupe Etudes Remodelage Osseux et bioMatériaux — LHEA, IRIS-IBS Institut de Biologie en Santé, CHU d''Angers, LUNAM Université,49933, ANGERS Cedex, France;2. SCIAM, Service Commun d''Imagerie et Analyses Microscopiques, IRIS-IBS Institut de Biologie en Santé, CHU d''Angers, LUNAM Université, 49933 Angers, Cedex, France;3. Chirurgie Pédiatrique Orthopédique, CHU d''Angers, 49933, Angers, Cedex, France;4. Département de Chirurgie Osseuse, CHU d''Angers, 49933, Angers, Cedex, France.
Abstract:Networks-on-Chip (NoCs) are recognized as the solution to address the communication bottleneck in a Multi-processor System-on-Chip (MPSoC). As NoCs represent a significant part of system 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 study, we present Noxim-XT, a NoC simulator based on Noxim that embeds a link power model with crosstalk modeling. 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. In addition, this tool is able to run application-based traffic and we show that under application-based traffics, the energy estimation made by classical models overestimates the NoC energy consumption by up to 50%.
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