Artículo
Energy aware simplicial processor for embedded morphological visual processing in intelligent internet of things
Fecha de publicación:
04/2018
Editorial:
Institution of Engineering and Technology
Revista:
Electronics Letters
ISSN:
0013-5194
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This Letter presents the architecture implementation and testing of an single instruction multiple data (SIMD) processor for energy aware embedded morphological visual processing using the simplicial piece-wise linear approximation. The architecture comprises a linear array of 48 × 48 processing elements, each connected to an eight-neighbour clique operating on binary input and state data. The architecture is synthesised from a custom designed ultra low-voltage CMOS library and fabricated in a 55 nm CMOS technology. The chip is capable of dynamic voltage/frequency scaling with power supplies between 0.5 and 1.2 V. The fabricated chip achieves an overall performance of 293 TOPS/W with dynamic energy dissipation efficiency of 3.4 fJ per output operation at 0.6 V.
Palabras clave:
VLSI
,
Internet of Things
,
Neural chips
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Articulos(IIIE)
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Citación
Villemur, Martin; Julian, Pedro Marcelo; Andreou, Andreas; Energy aware simplicial processor for embedded morphological visual processing in intelligent internet of things; Institution of Engineering and Technology; Electronics Letters; 54; 7; 4-2018; 420-422
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