CEVA offers deep neural network to accelerate machine-learning in low-power embedded system

CEVA, Inc., the leading licensor of DSP IP platforms for cellular, multimedia and connectivity, has today introduced the CEVA Deep Neural Network (CDNN), a real-time neural network software framework, to streamline machine learning deployment in low-power embedded systems. Harnessing the processing power of the CEVA-XM4 imaging & vision DSP, the CDNN enables embedded systems to perform deep learning tasks 3x faster than the leading GPU-based systems while consuming 30x less power and requiring 15x less memory bandwidth. For example, running a Deep Neural Network (DNN) based pedestrian detection algorithm at 28nm requires less than 30mW for a 1080p 30 frames per second video stream. Key to the performance, low power and low memory bandwidth capabilities of CDNN is the CEVA Network Generator, a proprietary automated technology that converts a customer’s…


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