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- W3020173600 abstract "Supporting variable precision for computing quantized neural network in a hardware accelerator is an efficient way to reduce overall computation time and energy. However, in the previous precision-scalable hardware, bit-reconfiguration logic increases the chip area significantly. In this paper, we demonstrate a compact precision-scalable accelerator chip using bitwise summation and channel-wise aligning schemes. The measurement results show that the peak performance per compute area is improved by 5.1-7.7x and system-level energy-efficiency is improved by up to 64% compared to previous precision-scalable accelerators." @default.
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- W3020173600 date "2020-03-01" @default.
- W3020173600 modified "2023-09-30" @default.
- W3020173600 title "A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS" @default.
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- W3020173600 doi "https://doi.org/10.1109/cicc48029.2020.9075872" @default.
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