PetaOps/W edge-AI $\mu$ Processors: Myth or reality?-Reference-Cited by-同舟云学术

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PetaOps/W edge-AI $\mu$ Processors: Myth or reality?

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

Gomony Manil Dev¹,De Putter Floran¹,Gebregiorgis Anteneh²,Paulin Gianna³,Mei Linyan⁴,Jain Vikram⁴,Hamdioui Said²,Sanchez Victor¹,Grosser Tobias⁵,Geilen Marc¹,Verhelst Marian⁴,Zenke Friedemann⁶,Gurkaynak Frank³,De Bruin Barry¹,Stuijk Sander¹,Davidson Simon⁷,De Sayandip¹,Ghogho Mounir⁸,Jimborean Alexandra⁹,Eissa Sherif¹,Benini Luca³,Soudris Dimitrios¹⁰,Bishnoi Rajendra²,Ainsworth Sam⁵,Corradi Federico¹,Karrakchou Ouassim⁸,Güneysu Tim¹¹,Corporaal Henk¹

Affiliation:

1. Eindhoven University of Technology

2. Delft University of Technology

3. ETH Zurich

4. Katholieke Universiteit Leuven

5. University of Edinburgh

6. Friedrich Miescher Institute

7. The University of Manchester

8. Intemational University of Rabat

9. University of Murcia

10. National Technical University of Athens

11. Ruhr-Universität Bochum

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10136870/10136706/10136926.pdf?arnumber=10136926

Reference24 articles.

1. TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge

2. DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC

3. A 5-nm 254-TOPS/W 221-TOPS/mm2 Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations;Fujiwara;ISSCC,2022

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