Dariol, Quentin und Helms, Domenik (2024) Low Power and High-Throughput LUT-based Accelerator Architecture for Distributed CNN Inference at the Edge. GDR SoC2 Symposium 2024, 2024-06-10 - 2024-06-12, Toulouse, France. doi: 10.5281/zenodo.11924255.
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Kurzfassung
Enabling distributed CNN inference at network's edge demands efficient solutions due to resource limitations and strict timing and energy constraints. LUT-based architectures, which aims at storing pre-computed neural network layers as LUTs, allow eliminating external memory and enabling fast, energy-efficient inference. Their use into an ecosystem for distributed CNN processing across multiple edge devices opens the door to novel applications in the field of future mobility and aerospace. In this paper, we present a flow using LUT-based accelerators for distributed CNN inference at edge.
elib-URL des Eintrags: | https://elib.dlr.de/204828/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||
Titel: | Low Power and High-Throughput LUT-based Accelerator Architecture for Distributed CNN Inference at the Edge | ||||||||||||
Autoren: |
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Datum: | 10 Juni 2024 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
DOI: | 10.5281/zenodo.11924255 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Embedded Artificial Intelligence (AI), Convolutional Neural Networks (CNNs), FPGA, Hardware Accelerator | ||||||||||||
Veranstaltungstitel: | GDR SoC2 Symposium 2024 | ||||||||||||
Veranstaltungsort: | Toulouse, France | ||||||||||||
Veranstaltungsart: | nationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 10 Juni 2024 | ||||||||||||
Veranstaltungsende: | 12 Juni 2024 | ||||||||||||
Veranstalter : | GDR SoC2 | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Verkehr | ||||||||||||
HGF - Programmthema: | Schienenverkehr | ||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||
DLR - Forschungsgebiet: | V SC Schienenverkehr | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - ADMIRE | ||||||||||||
Standort: | Oldenburg | ||||||||||||
Institute & Einrichtungen: | Institut für Systems Engineering für zukünftige Mobilität > System Evolution and Operation | ||||||||||||
Hinterlegt von: | Dariol, Quentin | ||||||||||||
Hinterlegt am: | 28 Jun 2024 13:55 | ||||||||||||
Letzte Änderung: | 28 Jun 2024 13:55 |
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