算术运算在许多应用中发挥着重要作用,例如图像处理。在图像处理应用中,乘法器是主要使用的算术运算。在最近的近似乘法器 (AM) 设计中,乘法器的设计指标以误差指标为代价变得更好,反之亦然。因此,为了平衡乘法器设计中的误差和设计指标与增加输入操作数的宽度,提出了一种使用改进的 Karatsuba 算法的基于舍入的 AM (RAM),其中乘法器数量的使用降低了。小乘法器用于移位和舍入操作,以减少功耗、延迟和面积。之前的和提议的 AM 都在之后使用 Cadence RTL 编译器在 Verilog HDL 中合成。仿真结果显示,设计了所提出的 8 位和 16 位 RAM,它们在延迟和面积方面的性能指标平均减少了 61.8%,8-52.6% 和 52.6%,功耗提高了 53.8%。与之前的 AM 相比,16 位 AM 的位 AM 以及延迟、面积和功率平均降低了 53.2%、59.7% 和 25%。使用平滑图像应用程序演示了所提出的 RAM,我们观察到使用 SSIM 和 ISFA 的 PSNR 获得了改进的图像质量,并在 ISFA 的 1.44%-84.47% 和 0.28%-24.4% 的范围内合并现有的 AM。与之前的 AM 相比,8 位 AM 的延迟、面积和功率平均降低了 8%,16 位 AM 的延迟、面积和功率平均降低了 53.2%、59.7% 和 25%。使用平滑图像应用程序演示了所提出的 RAM,我们观察到使用 SSIM 和 ISFA 的 PSNR 获得了改进的图像质量,并在 ISFA 的 1.44%-84.47% 和 0.28%-24.4% 的范围内合并现有的 AM。与之前的 AM 相比,8 位 AM 的延迟、面积和功率平均降低了 8%,16 位 AM 的延迟、面积和功率平均降低了 53.2%、59.7% 和 25%。使用平滑图像应用程序演示了所提出的 RAM,我们观察到使用 SSIM 和 ISFA 的 PSNR 获得了改进的图像质量,并在 ISFA 的 1.44%-84.47% 和 0.28%-24.4% 的范围内合并现有的 AM。
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Efficient Design of Rounding-Based Approximate Multiplier Using Modified Karatsuba Algorithm
Arithmetic operations play a substantial role in many applications, such as image processing. In image processing applications, a multiplier is a predominantly used arithmetic operation. In recent designs of Approximate Multipliers (AMs), the design metrics of multipliers are made better at the cost of Error metrics and vice versa. So, in order to balance both the error and design metrics in a multiplier design with increasing the width of the input operands, a Rounding-based AM (RAM) using a modified Karatsuba algorithm is proposed, in which the usage of the number of multipliers is reduced. Small multipliers are used with shifting and rounding operations so as to reduce power consumption, delay, and area. Both the prior and proposed AMs are later synthesized in Verilog HDL using the Cadence RTL compiler. The simulation results divulge that the proposed RAM of sizes 8 and 16 bits are designed and their performance metrics in terms of delay, and area are decreased on an average of 61.8%, and 52.6% with an improvement in power by 53.8% for 8-bit AM and also the delay, area and power are reduced on an average of 53.2%, 59.7%, and 25% for a 16-bit AM’s, in comparison with the prior AMs. The proposed RAM is demonstrated using the smoothening image application, and we observe that an improved image quality is obtained with SSIM and PSNR of the ISFA incorporated proposed RAM within the range of 1.44%—84.47% and 0.28%- 24.4%, over the ISFA incorporated existing AMs.