International Journal of Circuit Theory and Applications · 2011 · 37 citations · 15 references
EngineeringComputer EngineeringElectrical EngineeringComputer ArchitectureLow-power DesignMicroelectronicsLow-power Digital Circuit DesignLow-power Fpga DesignPower ManagementPower OptimizationPower-aware DesignBasic ArithmeticCountersEnergy-efficient Digital CircuitsLow-power Arithmetic CircuitsLow-power MultipliersMultiplier DesignMultipliersPower Consumption
SUMMARY Multiplication is one of the most basic arithmetic operations. It is used in digital applications, central processing units, and digital signal processors. In most systems, the multiplier lies within the critical path and hence, due to probability and reliability issues, the power consumption of the multiplier has become very important. Moreover, as chips shrink and their power densities increase, power is becoming a major concern for chip designers. The ever increasing demand for portable applications with their limited battery lifetime indicates that power considerations should be a center stone in today's designs and the future's designs. Thus, all this has motivated us to provide a novel circuit design technique for a low power multiplier without compromising the multiplier's speed. This paper presents a new power aware multiplier design based on Wallace tree structure. A new algorithm is proposed using high‐order counters to meet the power constraints imposed by mobility and shrinking technology. Commonly used multipliers of widths 8, 16, and 32 bits are designed based on the proposed algorithm. The new approach has succeeded in reducing the total number of gates used in the multiplier tree. Simulations on Altera's Quartus‐II FPGA simulator showed that the design achieves an average of 18.6% power reduction compared to the original Wallace tree. The design performs even better as the multiplier's size increases, achieving a 5% gate count reduction, a 26.5% power reduction, and a 23.9% better power‐delay product in 32‐bit multipliers. Copyright © 2011 John Wiley & Sons, Ltd.
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High-Speed Arithmetic in Binary Computers
O. L. Macsorley · Proceedings of the IRE · 1961 · 622 citations
Ultra Low-Voltage Low-Power CMOS 4-2 and 5-2 Compressors for Fast Arithmetic Circuits
Chip-Hong Chang, Jiangmin Gu, Mingyan Zhang · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2004 · 407 citations · Full text
Engineering, Computer Engineering, Electrical Engineering +17