Highly energy-efficient and quality-tunable inexact FFT accelerators
Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 2014•ieeexplore.ieee.org
We present inexact Fast Fourier Transform (FFT) accelerators that can realize energy-
accuracy tradeoffs taking advantage of various inexact design techniques in conjunction
with a machine-learning inspired waveform shaping technique. A 65nm ASIC test chip with
several inexact FFTs shows a reduction in datapath energy consumption upto 75% and the
total energy consumption upto 45%(a factor of 4X and 1.8 X respectively) when compared to
a conventional exact FFT at marginal Signal-to-Noise Ratio (SNR) losses between 0.0002 …
accuracy tradeoffs taking advantage of various inexact design techniques in conjunction
with a machine-learning inspired waveform shaping technique. A 65nm ASIC test chip with
several inexact FFTs shows a reduction in datapath energy consumption upto 75% and the
total energy consumption upto 45%(a factor of 4X and 1.8 X respectively) when compared to
a conventional exact FFT at marginal Signal-to-Noise Ratio (SNR) losses between 0.0002 …
We present inexact Fast Fourier Transform (FFT) accelerators that can realize energy-accuracy tradeoffs taking advantage of various inexact design techniques in conjunction with a machine-learning inspired waveform shaping technique. A 65nm ASIC test chip with several inexact FFTs shows a reduction in datapath energy consumption upto 75% and the total energy consumption upto 45% (a factor of 4X and 1.8X respectively) when compared to a conventional exact FFT at marginal Signal-to-Noise Ratio (SNR) losses between 0.0002 dB to 1 dB.
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