Name
Abstract | ||
|---|---|---|
This paper addresses the problem of mapping an application, which is highly dynamic in the future, onto aheterogeneous multiprocessor platform in an energy efficient way. A two-phase scheduling method is used for that purpose. By exploring the Pareto curves and scenarios generated at design time, the run-time scheduler can easily find a good scheduling at a very low overhead, satisfying the system constraints and minimizing the energy consumption. A real-life example from a 3D quality of service kernel is used to show the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1145/581199.581226 | ISSS |
Keywords | Field | DocType |
energy consumption,real-life example,aheterogeneous multiprocessor platform,service kernel,dynamic concurrent task,two-phase scheduling method,pareto curve,embedded real-time multimedia system,design time,good scheduling,low overhead,run-time scheduler,energy efficient,embedded system,real time,multiprocessor,embedded systems,multiprocessor scheduling,scheduling,quality of service,satisfiability | Fixed-priority pre-emptive scheduling,Multiprocessor scheduling,Computer science,Scheduling (computing),Efficient energy use,Parallel computing,Quality of service,Real-time computing,Dynamic priority scheduling,Energy consumption,Pareto principle,Embedded system | Conference |
ISBN | Citations | PageRank |
1-58113-576-9 | 44 | 1.77 |
References | Authors | |
17 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Yang | 1 | 192 | 13.90 |
| Paul Marchal | 2 | 296 | 18.99 |
| Chun Wong | 3 | 170 | 12.53 |
| Stefaan Himpe | 4 | 46 | 2.14 |
| Francky Catthoor | 5 | 3932 | 423.30 |
| Patrick David | 6 | 44 | 1.77 |
| Johan Vounckx | 7 | 216 | 19.91 |
| R. Lauwereins | 8 | 2336 | 220.18 |