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Early Performance and Energy Prediction of Neural Networks Deployed on Multi-Core Platforms

Dariol, Quentin and Le Nours, Sebastien and Pillement, Sebastien and Stemmer, Ralf and Helms, Domenik and Grüttner, Kim (2023) Early Performance and Energy Prediction of Neural Networks Deployed on Multi-Core Platforms. GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, 28.08.2023 - 01.09.2023, Grenoble, France.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/196733/
Document Type:Conference or Workshop Item (Poster)
Additional Information:This work has been funded by the WISE consortium, France in the project pSSim4AI and by the Federal Ministry of Education and Research (BMBF, Germany) in the project Scale4Edge (16ME0465).
Title:Early Performance and Energy Prediction of Neural Networks Deployed on Multi-Core Platforms
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dariol, QuentinUNSPECIFIEDhttps://orcid.org/0000-0002-3284-6882UNSPECIFIED
Le Nours, SebastienUNSPECIFIEDhttps://orcid.org/0000-0002-1562-7282UNSPECIFIED
Pillement, SebastienUNSPECIFIEDhttps://orcid.org/0000-0002-9160-2896UNSPECIFIED
Stemmer, RalfUNSPECIFIEDhttps://orcid.org/0000-0002-8302-7713UNSPECIFIED
Helms, DomenikUNSPECIFIEDhttps://orcid.org/0000-0001-7326-200XUNSPECIFIED
Grüttner, KimUNSPECIFIEDhttps://orcid.org/0000-0002-4988-3858UNSPECIFIED
Date:17 April 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Neural Networks, CNN, ANN, System Level Modeling, Power Model, Energy Model, Timing Model, Multi-Core Platforms, SystemC
Event Title:GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images
Event Location:Grenoble, France
Event Type:national Conference
Event Dates:28.08.2023 - 01.09.2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > System Evolution and Operation
Deposited By: Dariol, Quentin
Deposited On:31 Aug 2023 08:35
Last Modified:31 Aug 2023 08:35

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