动态精度可配置近似加法器的误差校正

Tomoaki Ukezono
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引用次数: 1

摘要

为了降低功耗,近似计算是图像处理等容错应用的有效方法。近似算术加法器可以用于近似计算,并且可以以精度换取功率。提出了一种动态精度可配置的近似加法器CMA。与其他精度可配置的近似加法器相比,CMA可以大幅降低功耗,同时允许它在运行时改变精度设置。在本文中,我们提出了一种微小的CMA纠错器,每个数字只需要两个门。通过消耗1.4%的额外功率,所提出的数值校正器可以将CMA的精度平均提高29.3%。
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An Error Corrector for Dynamically Accuracy-Configurable Approximate Adder
To reduce power consumption, approximate computing is an efficient approach for error-tolerant applications such as image processing. Approximate arithmetic adders can be used for the approximate computing, and can trade off accuracy for power. CMA, a dynamically accuracy-configurable approximate adder, had been proposed. CMA can sharply reduce power consumption compared with other accuracy-configurable approximate adders, while allowing it to change accuracy-setting at run-time. In this paper, we propose a tiny error corrector for CMA that needs to only two gates for each digit. By consuming 1.4% extra power, the proposed value corrector can improve accuracy for CMA by up to 29.3% on average.
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