Low-power array multiplier design by topology optimization

Zhijun Huang; Milos D. Ercegovac

doi:10.1117/12.452036

6 December 2002 Low power array multiplier design by topology optimization

Zhijun Huang, Milos D. Ercegovac

Proceedings Volume 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII; (2002) https://doi.org/10.1117/12.452036
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Left-to-right (L-R) linear array multiplication provides an interesting alternative to the conventional right-to-left (R-L) array multiplication as L-R computation has the potential of saving power and delay. This paper presents topology optimization techniques for low-power L-R array multipliers. These techniques include: interconnect reorganization, addition modules other than 3-to-2 carry save adders for PP reduction, and split array architectures. Our experiments indicate that interconnect reorganization can be a primary choice for L-R array multipliers if power is the critical concern. L-R schemes with optimized interconnect achieve the least power consumption in most cases with relatively small delay. When small power-delay product is the main goal, the more complex split array architectures are good candidates.

Citation Download Citation

Zhijun Huang and Milos D. Ercegovac "Low power array multiplier design by topology optimization", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); https://doi.org/10.1117/12.452036

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available