Name
Abstract | ||
|---|---|---|
Making approximate computing specific to user requirements is crucial to system performance, energy-efficiency, and reliability. However, developing hardware for such optimization becomes a significant challenge due to the high cost of examining all potential choices while exploring a large design space. One determinant aspect of exploring a design space is the efficiency of evaluating error metri... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TC.2020.2968905 | IEEE Transactions on Computers |
Keywords | DocType | Volume |
Adders,Space exploration,Measurement,Monte Carlo methods,Error probability,Computational modeling,Image processing | Journal | 69 |
Issue | ISSN | Citations |
6 | 0018-9340 | 2 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Morteza Rezaalipour | 1 | 3 | 1.42 |
| Mohammad Rezaalipour | 2 | 2 | 0.39 |
| M. Dehyadegari | 3 | 46 | 6.14 |
| Mahdi Nazm Bojnordi | 4 | 101 | 13.68 |