Abstract
Systolic array (SA) is an architecture which is conceptually similar to an arithmetic pipeline and is created by uniformly connecting group of identical data processing elements (PE). Approximate computing benefits in hardware and performance, but incurs accuracy loss, thereby limiting it to error-resilient applications. Majority of inexact multipliers offer one-sided Error Distribution (ErD), and SA architecture with such multipliers results in large accumulated errors. This paper investigates SA architecture with various arrangement of approximate multipliers (AM) with dissimilar ErD for image smoothing and outline extracting applications. Among all the patterns, the Ring arrangement comprising of AMs with opposite-sided ErD placed in nested loops of the SA, was found to accelerate performance by 22.31%, and enhance image quality metrics by 18.15%. For FPGA implementation, alternate arrangement with equal number of AMs with opposite-sided ErD in the SA offered 12.14% LUT savings and comparable flip-flops usage when compared with one-sided AMs in the SA.
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