access icon free Energy aware simplicial processor for embedded morphological visual processing in intelligent internet of things

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.

Inspec keywords: parallel processing; image processing; approximation theory; Internet of Things; low-power electronics; CMOS digital integrated circuits

Other keywords: embedded morphological visual processing; simplicial piece-wise linear approximation; linear array; ultralow-voltage CMOS library; size 55 nm; dynamic energy dissipation efficiency; architecture implementation; dynamic voltage-frequency scaling; intelligent internet of things; energy aware simplicial processor; eight-neighbour clique; SIMD processor; voltage 0.6 V

Subjects: Computer communications; Computer networks and techniques; Interpolation and function approximation (numerical analysis); Computer vision and image processing techniques; Optical, image and video signal processing; CMOS integrated circuits; Interpolation and function approximation (numerical analysis)

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