Early Performance and Energy Prediction of Neural Networks Deployed on Multi-Core Platforms
Résumé
Early evaluation of Neural Networks (NN) deployments on multi-core platforms is necessary to find deployments
that optimize resource usage, performance and energy. In this paper, we propose a timing and power modeling methodology
which combines simulation, analytical models, and measurements to offer fast yet accurate performance and energy prediction
of NN deployments on multi-core platforms. The proposed approach is validated against measurements obtained from a real
implementation of 27 mappings of four NNs with high accuracy and a fast evaluation time of approximatively 20 s per mapping.
Domaines
Electronique| Origine | Fichiers produits par l'(les) auteur(s) |
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