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- W2626550242 abstract "A wide variety of error tolerant applications supports the use of approximate circuits that achieve power savings by introducing small errors. This paper proposes a fast and novel algorithm for the design of such circuits with the goal of maximizing power savings, constrained by a fixed error budget, through an analytical expression to optimally select the number of bits to be approximated. This algorithm outperforms uniform approximation schemes by over 30% in power savings, with negligible computational overhead." @default.
- W2626550242 created "2017-06-23" @default.
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- W2626550242 date "2017-06-18" @default.
- W2626550242 modified "2023-10-03" @default.
- W2626550242 title "SABER" @default.
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- W2626550242 doi "https://doi.org/10.1145/3061639.3062314" @default.
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