Name
Abstract | ||
|---|---|---|
Approximately 18 percent of the 3.2 million smartphone applications rely on integrated graphics processing units (GPUs) to achieve competitive performance. Graphics performance, typically measured in frames per second, is a strong function of the GPU frequency, which in turn has a significant impact on mobile processor power consumption. Consequently, dynamic power management algorithms have to as... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TC.2018.2840710 | IEEE Transactions on Computers |
Keywords | Field | DocType |
Graphics processing units,Adaptation models,Time-frequency analysis,Computational modeling,Heuristic algorithms,Predictive models,Power system management | Graphics,Mean absolute percentage error,Power management,Computer science,A priori and a posteriori,Mobile processor,Real-time computing,Frequency scaling,Time–frequency analysis,Frame rate | Journal |
Volume | Issue | ISSN |
67 | 12 | 0018-9340 |
Citations | PageRank | References |
2 | 0.40 | 18 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ujjwal Das Gupta | 1 | 37 | 6.59 |
| Manoj Babu | 2 | 2 | 0.40 |
| Raid Ayoub | 3 | 470 | 27.86 |
| Michael Kishinevsky | 4 | 814 | 67.81 |
| Francesco Paterna | 5 | 60 | 5.68 |
| Suat Gumussoy | 6 | 78 | 10.99 |
| Ümit Y. Ogras | 7 | 203 | 15.03 |