Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Approximate arithmetic is a promising, new approach to low-energy designs while tackling reliability issues.  present a method to optimally distribute a given energy budget among adders in a dataflow graph so as to minimize expected errors. The method is based on new formal mathematical models and algorithms, which quantitatively characterize the relative importance of the adders in a circuit.  demonstrate this method on a  finite impulse response filter  and a  Fast Fourier Transform . The optimized energy distribution yields 2.05X lor error in a 16-point FFT and images with SNR 1.42X higher than those achieved by the best previous approach.
['Zvi M. Kedem', 'Vincent John Mooney', 'Kirthi Krishna Muntimadugu', 'Krishna V. Palem', 'Avani Devarasetty', 'Phani Deepak Parasuramuni']
I am writing a research paper on a idea Optimizing energy to minimize errors in dataflow graphs using approximate adders
[{"from": "human", "value": "I am writing a research paper on a idea Optimizing energy to minimize errors in dataflow graphs using approximate adders"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Approximate arithmetic is a promising, new approach to low-energy designs while tackling reliability issues.  present a method to optimally distribute a given energy budget among adders in a dataflow graph so as to minimize expected errors. The method is based on new formal mathematical models and algorithms, which quantitatively characterize the relative importance of the adders in a circuit.  demonstrate this method on a  finite impulse response filter  and a  Fast Fourier Transform . The optimized energy distribution yields 2.05X lor error in a 16-point FFT and images with SNR 1.42X higher than those achieved by the best previous approach."}]