Name
Abstract | ||
|---|---|---|
Increasing power densities of many-core systems leaves a fraction of on-chip resources inactive, referred to as dark silicon. Efficient management of critical interlinked parameters - power, performance and temperature can improve resource utilization and mitigate dark silicon. In this paper, we present a run-time resource management system for thermal aware performance boosting using a dark silic... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TC.2018.2805683 | IEEE Transactions on Computers |
Keywords | Field | DocType |
Silicon,Thermal management,Runtime,Power system management,Sytem-on-chip,Density measurement | Power budget,Dark silicon,Control theory,Thermal,Computer science,Real-time computing,Electronic engineering,Resource Management System,Headroom (audio signal processing),Boosting (machine learning),Throughput | Journal |
Volume | Issue | ISSN |
67 | 8 | 0018-9340 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil Kanduri | 1 | 56 | 7.28 |
| Mohammad Hashem Haghbayan | 2 | 91 | 13.43 |
| Amir Masoud Rahmani | 3 | 787 | 110.98 |
| Muhammad Shafique | 4 | 1945 | 157.67 |
| Axel Jantsch | 5 | 1875 | 169.83 |
| Pasi Liljeberg | 6 | 1147 | 92.79 |