Abstract:Background:
In recent years, there has been a high demand for executing digital signal processing
and machine learning applications on energy-constrained devices. Squaring is a vital arithmetic
operation used in such applications. Hence, improving the energy efficiency of squaring is crucial.
Objective:
In this paper, a novel approximation method based on piecewise linear segmentation of the
square function is proposed.
Method:
Two-segment, four-segment and eight-segment accurate and energy-efficient 32-bi… Show more
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