The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Fabian Kempf
  • Julian Hoefer
  • Tanja Harbaum
  • Juergen Becker
  • Nael Fasfous
  • Alexander Frickenstein
  • Hans Joerg Voegel
  • Simon Friedrich
  • Robert Wittig
  • Emil Matúš
  • Gerhard Fettweis
  • Matthias Lueders
  • Holger Blume
  • Jens Benndorf
  • Darius Grantz
  • Martin Zeller
  • Dietmar Engelke
  • Karl Heinz Eickel

Research Organisations

External Research Organisations

  • Karlsruhe Institute of Technology (KIT)
  • Bayerische Motoren Werke AG
  • Technische Universität Dresden
  • Dream Chip Technologies GmbH
View graph of relations

Details

Original languageEnglish
Title of host publication2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)9783981926378
Publication statusPublished - 2023
Event2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Antwerp, Belgium
Duration: 17 Apr 202319 Apr 2023

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
Volume2023-April
ISSN (Print)1530-1591

Abstract

ZuSE-KI-Mobil (ZuKIMo) is a nationally funded research project, currently in its intermediate stage. The goal of the ZuKIMo project is to develop a new System-on-Chip (SoC) platform and corresponding ecosystem to enable efficient Artificial Intelligence (AI) applications with specific requirements. With ZuKIMo, we specifically target applications from the mobility domain, i.e. autonomous vehicles and drones. The initial ecosystem is built by a consortium consisting of seven partners from German academia and industry. We develop the SoC platform and its ecosystem around a novel AI accelerator design. The customizable accelerator is conceived from scratch to fulfill the functional and non-functional requirements derived from the ambitious use cases. A tape-out in 22 nm FDX-technology is planned in 2023. Apart from the System-on-Chip hardware design itself, the ZuKIMo ecosystem has the objective of providing software tooling for easy deployment of new use cases and hardware-CNN co-design. Furthermore, AI accelerators in safety-critical applications like our mobility use cases, necessitate the fulfillment of safety requirements. Therefore, we investigate new design methodologies for fault analysis of Deep Neural Networks (DNNs) and introduce our new redundancy mechanism for AI accelerators.

Keywords

    AI Accelerator, Development Methodology, Fault Simulation, Functional Safety, System-on-Chip

ASJC Scopus subject areas

Cite this

The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. / Kempf, Fabian; Hoefer, Julian; Harbaum, Tanja et al.
2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings -Design, Automation and Test in Europe, DATE; Vol. 2023-April).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Kempf, F, Hoefer, J, Harbaum, T, Becker, J, Fasfous, N, Frickenstein, A, Voegel, HJ, Friedrich, S, Wittig, R, Matúš, E, Fettweis, G, Lueders, M, Blume, H, Benndorf, J, Grantz, D, Zeller, M, Engelke, D & Eickel, KH 2023, The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. in 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. Proceedings -Design, Automation and Test in Europe, DATE, vol. 2023-April, Institute of Electrical and Electronics Engineers Inc., 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023, Antwerp, Belgium, 17 Apr 2023. https://doi.org/10.23919/DATE56975.2023.10137257
Kempf, F., Hoefer, J., Harbaum, T., Becker, J., Fasfous, N., Frickenstein, A., Voegel, H. J., Friedrich, S., Wittig, R., Matúš, E., Fettweis, G., Lueders, M., Blume, H., Benndorf, J., Grantz, D., Zeller, M., Engelke, D., & Eickel, K. H. (2023). The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. In 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings (Proceedings -Design, Automation and Test in Europe, DATE; Vol. 2023-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/DATE56975.2023.10137257
Kempf F, Hoefer J, Harbaum T, Becker J, Fasfous N, Frickenstein A et al. The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. In 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings -Design, Automation and Test in Europe, DATE). doi: 10.23919/DATE56975.2023.10137257
Kempf, Fabian ; Hoefer, Julian ; Harbaum, Tanja et al. / The ZuSE-KI-Mobil AI Accelerator SoC : Overview and a Functional Safety Perspective. 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings -Design, Automation and Test in Europe, DATE).
Download
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abstract = "ZuSE-KI-Mobil (ZuKIMo) is a nationally funded research project, currently in its intermediate stage. The goal of the ZuKIMo project is to develop a new System-on-Chip (SoC) platform and corresponding ecosystem to enable efficient Artificial Intelligence (AI) applications with specific requirements. With ZuKIMo, we specifically target applications from the mobility domain, i.e. autonomous vehicles and drones. The initial ecosystem is built by a consortium consisting of seven partners from German academia and industry. We develop the SoC platform and its ecosystem around a novel AI accelerator design. The customizable accelerator is conceived from scratch to fulfill the functional and non-functional requirements derived from the ambitious use cases. A tape-out in 22 nm FDX-technology is planned in 2023. Apart from the System-on-Chip hardware design itself, the ZuKIMo ecosystem has the objective of providing software tooling for easy deployment of new use cases and hardware-CNN co-design. Furthermore, AI accelerators in safety-critical applications like our mobility use cases, necessitate the fulfillment of safety requirements. Therefore, we investigate new design methodologies for fault analysis of Deep Neural Networks (DNNs) and introduce our new redundancy mechanism for AI accelerators.",
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AU - Becker, Juergen

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AU - Frickenstein, Alexander

AU - Voegel, Hans Joerg

AU - Friedrich, Simon

AU - Wittig, Robert

AU - Matúš, Emil

AU - Fettweis, Gerhard

AU - Lueders, Matthias

AU - Blume, Holger

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AU - Grantz, Darius

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AU - Engelke, Dietmar

AU - Eickel, Karl Heinz

N1 - Funding Information: ACKNOWLEDGMENT This work was funded by the German Federal Ministry of Education and Research (BMBF) under grant number 16ME0096 (ZuSE-KI-mobil). The responsibility for the content of this publication lies with the authors. Furthermore, we thank GlobalFoundries, Synopsys, Cadence, Arteris, and ARM for supporting this research.

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