Name
Abstract | ||
|---|---|---|
This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MM.2018.043191123 | IEEE Micro |
Keywords | Field | DocType |
Heuristic algorithms,Approximate computing,Approximation algorithms,Runtime,Benchmark testing,Computational efficiency,Monitoring | Power budget,Electrical efficiency,Computer science,Operating speed,Real-time computing,Noise tolerance,Scaling,Computation,Bounded function | Journal |
Volume | Issue | ISSN |
38 | 4 | 0272-1732 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serif Yesil | 1 | 6 | 1.86 |
| Ismail Akturk | 2 | 32 | 6.56 |
| Ulya R. Karpuzcu | 3 | 277 | 22.27 |