2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) 2017
DOI: 10.1109/patmos.2017.8106990
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A fair comparison of adders in stochastic regime

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Cited by 16 publications
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“…For performing approximate addition, the LOA presented in [10] was utilized, as its efficacy was verified based on neural network and fuzzy applications. Moreover, the LOA was found to offer the optimum cost-error trade-off in the stochastic regime [13]. The LOA basically bi-partitions the input bits and gives them over for processing to the most significant accurate adder part and the least significant approximate adder part.…”
Section: Results For Approximate Additionmentioning
confidence: 99%
“…For performing approximate addition, the LOA presented in [10] was utilized, as its efficacy was verified based on neural network and fuzzy applications. Moreover, the LOA was found to offer the optimum cost-error trade-off in the stochastic regime [13]. The LOA basically bi-partitions the input bits and gives them over for processing to the most significant accurate adder part and the least significant approximate adder part.…”
Section: Results For Approximate Additionmentioning
confidence: 99%