The Power Optimization And Application Of XOR Network In The Finite Field Multiplier

With the rapid development of integrated circuit technology, power consumption has become a majorproblem of in IC design. Currently, almost all of logic design are based low power IC design hasimplemented by Boolean logic based on NOT/AND/OR gates, and the corresponding automatic designmethods has have been proposed and applicated in IC design. In fact, a large number of studies manyresearches have shown that, compared with traditional Boolean logic circuits, about half of the circuit, ifapply designed using the Reed-Muller (RM) logic circuit which is based on XOR/AND gates to achieve,the circuit area can be further optimized. Meanwhile the Reed-Muller (RM) logic has significantadvantages in the testability compared with Boolean logic based on NOT/AND/OR. Compared to areaoptimization of RM logic, RM logic power optimization faces with many difficulties much more challenges,this relates the main reason is to that the RM logic is extremely sensitive to the input signals transition.Considering of the characteristics of RM logic circuit, this paper has made a detailed analysis of the currentmethods of power estimation in RM logic, especially in the XOR network, and researches of optimizationtechniques at home and abroad. We put forward the a power estimation method based on signal transitionsdensity. And finally, the proposed method has been applied effectively for low power finite field multiplierdesign. The paper consists of three main parts below:1、A new signal transition density calculation approach is proposed. In CMOS circuits, the mainsource of power consumption is dynamic power, and it is related to the times of the charge and discharge ofall node capacitances. In the process of estimating power dissipation, switching activity of the circuit is animportant factor to estimate power consumption, the calculation results of switching activity will directlyaffect the accuracy of power estimation. In this paper, the initial value of signal transition density wasobtained by random signal, and we have deduced2-input XOR gate signal transition density calculationmodel, and give the experimental verification method at the same time.2、Based on the proposed transition density model, a multiple input XOR gate is decomposed intoXOR network of2-input XOR gates in order for power saving. And the corresponding low power XORdecomposition algorithm was proposed. The effect of the proposed algorithm is verified by the EAD toolnamed Modelsim. The experimental results show that the proposed algorithm is more efficient than thepublished methods in XOR network power optimization.3、The finite field multiplier is an important basic unit of the communication system. So far, theresearches mainly focused on the area and speed optimization of the finite field multiplier. In this paper theproposed XOR network optimization algorithm is applied in the finite field multiplier design, with the helpof the Design Compiler (DC), the power consumption proportion of XOR network in finite field multiplieris analyzed. Comparing with the power consumption of finite field multiplier after optimizing, theeffectiveness of power optimization algorithm has been proved.