A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier
Laimin Du,
Leibin Ni,
Xiong Liu
et al.
Abstract:Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. In this paper, we propose a low-power DNN accelerator with novel signed approximate multiplier based on probability-optimized compressor and error compensation. The probability-optimized compressor is customized for partial product matrix (PPM) of signed operands, which gets the optimal logic circuit after probab… Show more
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