Helms, Domenik und Dariol, Quentin und Grüttner, Kim und Perjikolaei, Behnam R und Einhaus, Lukas und Gregor, Schiele (2023) FPGA based in-memory AI computing. ONERA Workshop on Advances in Artificial Intelligence for Aerospace Engineering, 2023-05-30, Paris, France.
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Kurzfassung
The advent of AI in vehicles of all kinds is simultaneously creating the need for more and most often also very large computing capacities. Depending on the type of vehicle, this gives rise to various problems: while overall hardware and engineering costs dominate for airplanes, in fully electrical cars the costs for computing hardware are more of a matter. Common in both domains are tight requirements on the size, weight and space of the hardware, especially for drones and satellites, where this is most challenging. For airplanes and especially for satellites, an additional challenge is the radiation resistance of the usually very memory-intensive AI systems. We therefore propose an FPGA-based in-memory AI computation methodology, which is so far only applicable for small AI systems, but works exclusively with the local memory elements of FPGAs: lookup tables (LUTs) and registers. By not using external and thus slow, inefficient and radiation-sensitive DRAM, but only local SRAM, we can make AI systems faster, lighter and more efficient than is possible with conventional GPUs or AI accelerators. All known radiation hardening techniques for FPGAs also work for our systems.
elib-URL des Eintrags: | https://elib.dlr.de/194973/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | FPGA based in-memory AI computing | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 30 Mai 2023 | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
Status: | akzeptierter Beitrag | ||||||||||||||||||||||||||||
Stichwörter: | AI, FPGA, in memory computing | ||||||||||||||||||||||||||||
Veranstaltungstitel: | ONERA Workshop on Advances in Artificial Intelligence for Aerospace Engineering | ||||||||||||||||||||||||||||
Veranstaltungsort: | Paris, France | ||||||||||||||||||||||||||||
Veranstaltungsart: | Workshop | ||||||||||||||||||||||||||||
Veranstaltungsdatum: | 30 Mai 2023 | ||||||||||||||||||||||||||||
Veranstalter : | ONERA | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||
HGF - Programmthema: | Straßenverkehr | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC, V - TraCo - Train Control and Management | ||||||||||||||||||||||||||||
Standort: | Oldenburg | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systems Engineering für zukünftige Mobilität | ||||||||||||||||||||||||||||
Hinterlegt von: | Helms, Domenik | ||||||||||||||||||||||||||||
Hinterlegt am: | 09 Mai 2023 15:04 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:55 |
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