基于新型4-1压缩器的低功耗近似乘法器

A Low Power Approximate Multiplier Based on Novel 4-1 Compressor

随着云计算、物联网和人工智能等技术的快速发展,终端设备在硬件资源和能耗上面临巨大挑战。为了降低运算单元的功耗,文章提出了两种基于新型4-1压缩器的低功耗近似乘法器。通过分析4-1压缩器的误差,设计了误差补偿单元并应用在乘法器中,降低了近似乘法器的精度损失。仿真结果显示,与精确乘法器相比,提出的两种8位无符号数近似乘法器在延时上分别降低了5.67%和18.23%,在面积上分别降低了6.54%和20.36%,在功耗上分别降低了15.83%和30.94%。最后,在图像锐化实验中,提出的设计表现优秀,验证了其在可容错应用中的有效性。

With the rapid development of the cloud computing,internet of things and artificial intelligence,terminal devices are facing great challenges in hardware resources and power consumption.In order to reduce the power consumption of computing units,two kinds of low power approximate 8-bit multipliers based on novel 4-1 compressors were proposed.Based on analysis of the errors of 4-1 compressors,an error compensation module was designed to reduce the precision loss.The simulation results show that,compared with the exact multiplier,the delay of the proposed multipliers was reduced by 5.67%and 18.23%,the area by 6.54%and 20.36%,and the power consumption by 15.83%and 30.94%,respectively.Finally,the proposed multipliers are applied to image sharpening,which verify its validity in error-tolerant applications.