Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms-Reference-Cited by-同舟云学术

Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms

Published:2023-01-17 Issue: Volume: Page:
ISSN:
Container-title:DroneSE and RAPIDO: System Engineering for constrained embedded systems
language:
Short-container-title:

Author:

Dariol Quentin¹^ORCID,Le Nours Sebastien²^ORCID,Helms Domenik³^ORCID,Stemmer Ralf³^ORCID,Pillement Sebastien²^ORCID,Grüttner Kim³^ORCID

Affiliation:

1. Nantes Université - IETR UMR CNRS 6164, France and German Aerospace Center (DLR), Germany

2. Nantes Université - IETR UMR CNRS 6164, France

3. German Aerospace Center (DLR), Germany

Funder

Federal Ministry of Education and Research (BMBF, Germany)

WISE consortium, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579170.3579263

Reference20 articles.

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2. Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators

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