Design of high-speed low-power parallel-prefix adder trees in nanometer technologies
Abstract:
This paper presents a novel approach to design high-speed low-power parallel-prefix adder trees. Sub-circuits typically used in the design of parallel-prefix trees are deeply analyzed and separately optimized. The modules used for computing the group propagate and generate signals have been designed to improve their energy-delay behavior in an original way. When the ST 45 nm 1 V CMOS technology is used, in comparison with conventional implementations, the proposed approach exhibits computational delay with mean value and standard deviation up to 40% and 48% lower and achieves energy consumption with mean value and standard deviation up to 57% and 40% lower. A 32-bit Brent-Kung tree made as proposed here reaches a computational delay lower than 165 ps and dissipates 147.4fJ on average. Copyright © 2013 John Wiley & Sons, Ltd. This paper presents a novel approach to design high-speed low-power parallel-prefix adder trees. Sub-circuits typically used in the design of parallel-prefix trees are deeply analyzed and separately optimized. The modules used for computing the group propagate and generate signals have been designed to improve their energy-delay behavior in an original way. When the ST 45 nm 1 V CMOS technology is used, in comparison with conventional implementations, the proposed approach exhibits computational delay with mean value and standard deviation up to 40% and 48% lower and achieves energy consumption with mean value and standard deviation up to 57% and 40% lower. A 32-bit Brent-Kung tree made as proposed here reaches a computational delay lower than 165 ps and dissipates 147.4fJ on average. Copyright © 2013 John Wiley & Sons, Ltd.
Año de publicación:
2014
Keywords:
- High-speed addition
- Brent-Kung adder tree
- Parallel-Prefix adders
Fuente:
Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Ciencias de la computación
- Arquitectura de computadoras
- Ingeniería electrónica
Áreas temáticas:
- Ciencias de la computación