Name
Abstract | ||
|---|---|---|
Approximate computing has emerged as a circuit design technique that can reduce system power without significantly sacrificing the output quality in error-resilient applications. However, there exists only a few approaches for systematically and efficiently determining the error introduced by approximate hardware units. This paper focuses on the development of error analysis techniques for approxi... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCAD.2018.2803626 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | Field | DocType |
Adders,Hardware,Error analysis,Boolean functions,Approximation algorithms,Fourier transforms | Mellin transform,Boolean function,Approximation algorithm,Monte Carlo method,Adder,Computer science,Circuit design,Algorithm,Electronic engineering,Directed acyclic graph,Probability distribution | Journal |
Volume | Issue | ISSN |
38 | 1 | 0278-0070 |
Citations | PageRank | References |
4 | 0.42 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepashree Sengupta | 1 | 28 | 3.71 |
| Farhana Sharmin Snigdha | 2 | 17 | 3.49 |
| Jiang Hu | 3 | 668 | 65.67 |
| Sachin Sapatnekar | 4 | 4074 | 361.60 |