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Implementation of energy-efficient approximate multiplier with guaranteed worst case relative error

机译:实现节能近似乘数,保证最坏情况相对误差

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Existing design methods for approximate multipliers typically rely on exhaustive simulation to determine the approximation error. However, this approach is not tractable for complex designs. In this paper, a two-dimensional piecewise linear approximation method for multiplication that formally guarantees the maximum error is proposed. Based on this method, a design procedure to implement energy-efficient approximate multipliers is also proposed. Three 32-bit unsigned approximate multipliers with guaranteed maximum errors of 12.5%, 3.13% and 0.78% were realized using the design procedure. The efficiencies of the proposed designs were evaluated by comparing their parameters with that of the exact and state-of-the-art approximate multipliers. The proposed designs deliver up to 91.8% (62.1%) energy saving when compared with that of exact (approximate) multipliers. The effectiveness of the approximate multipliers was also assessed in an image smoothening application.
机译:用于近似乘法器的现有设计方法通常依赖于详尽仿真以确定近似误差。然而,这种方法对于复杂的设计并不易行。本文提出了一种二维分段线性近似方法,用于乘法,其正式保证最大误差。基于该方法,还提出了实现节能近似乘数的设计过程。使用设计过程实现了32位无符号近似乘数,保证最大误差为12.5%,3.13%和0.78%。通过将它们的参数与精确和最先进的近似乘法器进行比较来评估所提出的设计的效率。与精确(近似)乘数相比,拟议的设计提供高达91.8%(62.1%)节能。在图像平滑应用中还评估了近似乘法器的有效性。

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