Name
Abstract | ||
|---|---|---|
We investigate the use of deep neural network (DNN) models for energy optimization under performance constraints in chip multiprocessor systems. We introduce a dynamic energy management algorithm implemented in three phases. In the first phase, training data is collected by running several selected instrumented benchmarks. A training data point represents a pair of values of cores’ workload charac... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMSCS.2018.2870438 | IEEE Transactions on Multi-Scale Computing Systems |
Keywords | DocType | Volume |
Optimization,Kalman filters,Reinforcement learning,Prediction algorithms,Energy consumption,Artificial neural networks | Journal | 4 |
Issue | ISSN | Citations |
4 | 2332-7766 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milad Ghorbani Moghaddam | 1 | 9 | 4.70 |
| Wenkai Guan | 2 | 1 | 1.11 |
| Cristinel Ababei | 3 | 281 | 24.54 |