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An improved elementary processing unit for high-density CNN-based mixed-signal microprocessors for vision

AuthorsLiñán-Cembrano, G. ; Espejo-Meana, S. ; Domínguez-Castro, R. ; Rodríguez-Vázquez, Ángel
Issue Date2003
PublisherWorld Scientific Publishing
CitationJournal of Circuits, Systems and Computers 12(6): 675-690 (2003)
AbstractThis 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.
Identifiersdoi: 10.1142/S0218126603001100
issn: 0218-1266
e-issn: 1793-6454
Appears in Collections:(IMSE-CNM) Artículos
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