Power Optimization in Multipliers Using Multi-Precision Combined with Dynamic Voltage Scaling Techniques

Xiaoxiao Zhang1,  Amine Bermak1,  Farid Boussaid2


Low-power design is essential for computationintensive systems such as Digital Signal Processors (DSP) as well as battery-powered devices. This paper presents a novel low-power multiplier architecture, which exploits the effective dynamic range of the input data and performs a run-time multi-precision multiplication. Block-wise shutdown and voltage scaling techniques are combined to disable unused resources and adjust the supply voltage and clock frequency to reduce power consumption. This results in nearly a cubic reduction in dynamic power dissipation. Furthermore, by using modified Booth encoding scheme, partial products generating algorithm, and compression topology, our multiplier achieves both delay and power reduction. The design is synthesized using TSMC 0:18¹m standard cell library and evaluated in Synopsys design environment. Reported results show that our multiplier achieves up to 75% power reduction with less than 10% overhead in terms of silicon area.