PROJECT TITLE :

Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers - 2018

ABSTRACT:

Approximate computing forms a style various that exploits the intrinsic error resilience of numerous applications and produces energy-economical circuits with small accuracy loss. In this paper, we propose an approximate hybrid high radix encoding for generating the partial product in signed multiplications that encodes the most significant bits with the accurate radix-4 encoding and the smallest amount important bits with an approximate higher radix encoding. The approximations are performed by rounding the high radix values to their nearest power of two. The proposed technique can be configured to realize the desired energy-accuracy tradeoffs. Compared with the correct radix-four multiplier, the proposed multipliers deliver up to fifty sixpercent energy and 55p.c area savings, when operating at the same frequency, while the imposed error is bounded by a Gaussian distribution with near-zero average. Moreover, the proposed multipliers are compared with state-of-the-art inexact multipliers, outperforming them by up to fortyp.c in energy consumption, for similar error values. Finally, we tend to demonstrate the scalability of our technique.