Study of Estimation Based Functional Iteration Approximation Dividers
| Autor: | Ants Koel, Udayan S. Patankar, Miguel E. Flores |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Estimation
Class (computer programming) Circuit performance Computer science 02 engineering and technology 01 natural sciences 020202 computer hardware & architecture Rate of convergence Computer engineering Feature (computer vision) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Key (cryptography) 010306 general physics Quotient Operation |
| Zdroj: | ICCE 2021 IEEE International Conference on Consumer Electronics (ICCE) |
| Popis: | Electronic implementation of mathematical operations is very important and critical part of digital system. The major aspects that must be considered are quotient convergence rate, hardware primitives, overheads, and mathematical formulation. Many algorithms were implemented to achieve dividers, which provide inflexible solutions without any percentage of error. In actuality there exist many error-resilient applications where such types of dividers fail to work satisfactorily in terms of power consumption and overall circuit performance. This paper highlights the different estimation or prediction-based dividers. In this paper, we highlighted the key feature points of conversion for approximation and functional iteration class dividers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|