Details
Original language | English |
---|---|
Title of host publication | 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9783981926378 |
Publication status | Published - 2023 |
Event | 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Antwerp, Belgium Duration: 17 Apr 2023 → 19 Apr 2023 |
Publication series
Name | Proceedings -Design, Automation and Test in Europe, DATE |
---|---|
Volume | 2023-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
- Engineering(all)
- General Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
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 proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - The ZuSE-KI-Mobil AI Accelerator SoC
T2 - 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023
AU - Kempf, Fabian
AU - Hoefer, Julian
AU - Harbaum, Tanja
AU - Becker, Juergen
AU - Fasfous, Nael
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
AU - Benndorf, Jens
AU - Grantz, Darius
AU - Zeller, Martin
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.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - AI Accelerator
KW - Development Methodology
KW - Fault Simulation
KW - Functional Safety
KW - System-on-Chip
UR - http://www.scopus.com/inward/record.url?scp=85162703402&partnerID=8YFLogxK
U2 - 10.23919/DATE56975.2023.10137257
DO - 10.23919/DATE56975.2023.10137257
M3 - Conference contribution
AN - SCOPUS:85162703402
T3 - Proceedings -Design, Automation and Test in Europe, DATE
BT - 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 April 2023 through 19 April 2023
ER -