ZuSE Ki-Avf: Application-Specific AI Processor for Intelligent Sensor Signal Processing in Autonomous Driving-Reference-Cited by-同舟云学术

ZuSE Ki-Avf: Application-Specific AI Processor for Intelligent Sensor Signal Processing in Autonomous Driving

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
language:
Short-container-title:

Author:

Thieu Gia Bao¹,Gesper Sven¹,Payá-Vayá Guillermo¹,Riggers Christoph²,Renke Oliver²,Fiedler Till²,Marten Jakob²,Stuckenberg Tobias²,Blume Holger²,Weis Christian³,Steiner Lukas³,Sudarshan Chirag³,Wehn Norbert³,Reimann Lennart M.⁴,Leupers Rainer⁴,Beyer Michael⁵,Köhler Daniel⁵,Jauch Alisa⁵,Borrmann Jan Micha⁵,Jaberansari Setareh⁵,Berthold Tim⁶,Blawat Meinolf⁶,Kock Markus⁶,Schewior Gregor⁶,Benndorf Jens⁶,Kautz Frederik⁷,Bluethgen Hans-Martin⁷,Sauer Christian⁷

Affiliation:

1. Technische Universität Braunschweig,Chair for Chip Design for Embedded Computing,Germany

2. Institute of Microelectronic Systems, Leibniz Universität,Hannover,Germany

3. Technische Universität,Microelectronic Systems Design Research Group,Kaiserslautern,Germany

4. Institute for Communication Technologies and Embedded Systems, RWTH Aachen University,Germany

5. Robert Bosch GmbH,Germany

6. Dream chip Technologies GmbH,Germany

7. Cadence Design Systems,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10136870/10136706/10136978.pdf?arnumber=10136978

Reference14 articles.

1. Application-specific soft-core vector processor for advanced driver assistance systems

2. A Flexible Multi-port Caching Scheme for Reconfigurable Platforms

3. ConGen

4. Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Level Prototyping of a Vertical Vector AI Processing System;2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2024-07-24

2. N²V²PRO: Neural Network Mapping Framework for a Custom Vector Processor Architecture;2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin);2023-09-03

3. Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07

4. TAPRE-HBM: Trace-Based Processor Rapid Emulation Using HBM on FPGAs;Applied Reconfigurable Computing. Architectures, Tools, and Applications;2023

5. Online Quantization Adaptation for Fault-Tolerant Neural Network Inference;Lecture Notes in Computer Science;2023