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- Title
AN IMPROVED ELEMENTARY PROCESSING UNIT FOR HIGH-DENSITY CNN-BASED MIXED-SIGNAL MICROPROCESSORS FOR VISION.
- Authors
Li&nbar;á-Cembrano, G.; Espejo, S.; Domínguez-Castro, R.; Rodriguez-Vázquez, A.
- Abstract
This paper presents the architecture of the Elementary Processing Unit — EPU — which has been employed to design a CNN-Based 128×128 Focal Plane Mixed-Signal Microprocessor for vision. The EPU contains the required building blocks to implement, on chip, vision algorithms based on the execution of linear 3×3 convolution masks,1 or information propagative CNN templates.2 Using this EPU, we have designed a prototype, called ACE16k, which contains an array of 128×128 EPUs and a completely digital interface, in a standard fully-digital 0.35 μm CMOS technology. The estimation results forecast 300 GOPS, 3.23 GOPS/mm2 and 100 GOP/J.
- Subjects
MICROPROCESSORS; ARTIFICIAL neural networks; ARTIFICIAL intelligence; INTEGRATED circuits; ELECTRONIC circuits; DIGITAL electronics
- Publication
Journal of Circuits, Systems & Computers, 2003, Vol 12, Issue 6, p675
- ISSN
0218-1266
- Publication type
Article