| Autor: |
Mounica, Chandana, Krishna, Sagar, Veeramachaneni, Sreehari, Mahammad S, Noor |
| Předmět: |
|
| Zdroj: |
International Journal of Circuit Theory & Applications; Aug2020, Vol. 48 Issue 8, p1386-1394, 9p |
| Abstrakt: |
Summary: Many of the modern deep learning, machine learning, and artificial intelligence algorithms use adders, multipliers, and multiply‐accumulators (MACs) with mixed precisions. In general, fixed‐point and floating‐point adders, multipliers, and MACs are used in mixed‐precision hardware, such that the above algorithm can choose appropriate hardware for its processing. This paper proposes an efficient mixed‐precision MAC circuit that can perform fixed‐point and floating‐point operations. The proposed design uses Han‐Carlson adder with late carry or end‐around carry in its accumulator design; as a result, delay and energy of the circuit reduce by 21.46% and 22.54% respectively, when compared with the existing designs from the literature. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Plný text