Low Power Approximate Multiplier Using Error Tolerant Adder

Jaeik Cho, Youngmin Kim
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引用次数: 1

Abstract

In many applications such as multimedia processing, the power may need to be lowered. Error tolerant adder is used to study carry prediction and approximate multiplication in this paper. The delay of addition between partial products and the results of speculative counters is reduced by the optimized Three-Dimensional Matrix (TDM) suggested in [1] when the speculative counters make no error. The results of the optimized TDM trees are added by the speculative adder for error tolerant computations. The power dissipation is lowered by tolerating the generated errors in the computations deliberately. By the speculative adder, the parts of LSB are approximated in total calculation. Instead of making LSB inaccurate, the total power dissipation is lowered.
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使用容错加法器的低功耗近似乘法器
在许多应用程序中,例如多媒体处理,可能需要降低功耗。本文采用容错加法器研究进位预测和近似乘法。在投机计数器不出错的情况下,利用[1]中提出的优化的三维矩阵(TDM)减少了部分乘积与投机计数器结果之间的加法延迟。通过推测加法器对优化后的TDM树进行容错计算。通过有意地容忍计算中产生的误差,降低了功耗。通过推测加法器,在总计算中对LSB部分进行了近似。而不是使LSB不准确,总功耗降低。
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