ZuSE-KI-Mobil AI Chip Design Platform
An Overview
Abstract
The ZuSE-KI-Mobil (ZuKIMo) project, a nationally funded initiative, focuses on creating an advanced ecosystem optimized for AI-driven applications in automotive, drone, and industrial domains. At the heart of this effort is a state-of-the-art System-on-Chip (SoC), successfully taped out using 22 nm FDX technology, integrating a novel AI accelerator tailored to specific use case requirements, along with proof-of-concept demonstrators that validate the platform's real-world application potential. Key aspects include the customized compiler flow, the hardware generation process of the novel AI accelerator, and the acceleration of different applications using the ZuKIMo platform. Examples of these applications are 3D object detection and disengagement prediction in autonomous driving. The paper provides an overview of the ZuKIMo ecosystem, highlighting its contributions to AI performance, energy efficiency, and safety in heterogeneous AI hardware platforms.
Details
- Organisationseinheit(en)
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Fachgebiet Architekturen und Systeme
- Externe Organisation(en)
-
Technische Universität Dresden (TUD)
Karlsruher Institut für Technologie (KIT)
Dream Chip Technologies GmbH
Bayerische Motoren Werke AG
Technische Universität München (TUM)
Infineon Technologies AG
- Typ
- Aufsatz in Konferenzband
- Publikationsdatum
- 29.10.2024
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Hardware und Architektur, Elektrotechnik und Elektronik, Instrumentierung
- Ziele für nachhaltige Entwicklung
- SDG 7 - Erschwingliche und saubere Energie
- Elektronische Version(en)
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https://doi.org/10.1109/NorCAS64408.2024.10752454 (Zugang:
Geschlossen
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