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FPGA based in-memory AI computing

Helms, Domenik and Dariol, Quentin and Grüttner, Kim and Perjikolaei, Behnam R and Einhaus, Lukas and Gregor, Schiele (2023) FPGA based in-memory AI computing. ONERA Workshop on Advances in Artificial Intelligence for Aerospace Engineering, 30.5.2023, Paris, France.

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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.

Item URL in elib:https://elib.dlr.de/194973/
Document Type:Conference or Workshop Item (Speech)
Title:FPGA based in-memory AI computing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Helms, DomenikUNSPECIFIEDhttps://orcid.org/0000-0001-7326-200XUNSPECIFIED
Dariol, QuentinUNSPECIFIEDhttps://orcid.org/0000-0002-3284-6882UNSPECIFIED
Grüttner, KimUNSPECIFIEDhttps://orcid.org/0000-0002-4988-3858UNSPECIFIED
Date:30 May 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:AI, FPGA, in memory computing
Event Title:ONERA Workshop on Advances in Artificial Intelligence for Aerospace Engineering
Event Location:Paris, France
Event Type:Workshop
Event Dates:30.5.2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC, V - TraCo - Train Control and Management
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility
Deposited By: Helms, Domenik
Deposited On:09 May 2023 15:04
Last Modified:01 Jun 2023 03:00

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