<inline-formula><tex-math>$2^n$</tex-math><alternatives> <inline-graphic xlink:type="simple" xlink:href="sousa-ieq1-2401026.gif"/></alternatives></inline-formula> RNS Scalers for Extended 4-Moduli Sets

Abstract

Scaling is a key important arithmetic operation and is difficult to perform in Residue Number Systems (RNS). This paper proposes a comprehensive approach for designing efficient and accurate $2^n$ RNS scalers for important classes of moduli sets that have large dynamic ranges. These classes include the traditional 3-moduli set, but the exponent of the power of two modulo is augmented by a variable value $x$ ( $\lbrace 2^n-1, 2^{n\underline{+x}}, 2^n+1 \rbrace$ ), and any extended set with an additional modulo $m_4$ ( $\lbrace 2^n-1, 2^{n\underline{+x}}, 2^n+1[,\underline{m_4}]\rbrace$ ). The proposed approach embeds scaling into the formulation of the Chinese remainder theorem and the mixed radix system, and it exploits the properties of the target moduli sets to perform scaling explicitly in the RNS domain. This is accomplished by operating hierarchically on each channel without requiring reverse and forward conversions. Simple memoryless VLSI architectures are proposed based on the obtained formulations. The relative assessment indicates that not only are these architectures comprehensive and suitable for configurable systems, but they are also more efficient than the related state of the art in terms of both performance and energy. The experimental results obtained for a 90 nm CMOS ASIC technology show improvements in the area-delay product, normalized with respect to the dynamic range, of up to $57$ and $146$ percent with the proposed scalers for the augmented 3-moduli set (dynamic range of $4n-1$ bits) and an extended 4-moduli set (dynamic range of $6n$ bits), respectively. These improvements increase to $64.9$ and $263$ percent when the energy required per scaling is measured. The proposed scalers are not only flexible and cost-effective, but they are also suitable for designing and implementing energy-constrained devices, particularly mobile systems.