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TruncApp: A truncation-based approximate divider for energy efficient DSP applications.

, , , , and . DATE, page 1635-1638. IEEE, (2017)

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TOSAM: An Energy-Efficient Truncation- and Rounding-Based Scalable Approximate Multiplier., , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (5): 1161-1173 (2019)TruncApp: A truncation-based approximate divider for energy efficient DSP applications., , , , and . DATE, page 1635-1638. IEEE, (2017)LATIM: Loading-Aware Offline Training Method for Inverter-Based Memristive Neural Networks., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (10): 3346-3350 (2021)LETAM: A low energy truncation-based approximate multiplier., , , and . Comput. Electr. Eng., (2017)Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 68 (10): 4310-4323 (2021)Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications., , , and . IEEE Trans. Very Large Scale Integr. Syst., 28 (7): 1578-1588 (2020)Loading-Aware Reliability Improvement of Ultra-Low Power Memristive Neural Networks., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 68 (8): 3411-3421 (2021)Offline Training Improvement of Inverter-Based Memristive Neural Networks Using Inverter Voltage Characteristic Smoothing., , , and . IEEE Trans. Circuits Syst., 67-II (12): 3442-3446 (2020)