Name
Title | ||
|---|---|---|
Interactive presentation: Using dynamic voltage scaling to reduce the configuration energy of run time reconfigurable devices |
Abstract | ||
|---|---|---|
In this paper, an approach that uses dynamic voltage scaling (DVS) to reduce the configuration energy of runtime reconfigurable devices is proposed. The basic idea is to use configuration prefetching and parallelism to create excessive system idle time and apply DVS on the configuration process when such idle time can be utilized. A genetic algorithm is developed to solve the task scheduling and voltage assignment problem. With real applications, the results show that up to 19.3% of configuration energy can be reduced. When considering the reduction of the configuration energy, the results show that using more computation resources is more favorable when the configuration latency is relatively small, and using more configuration controllers is more favorable for relatively large latency. |
Year | Venue | Keywords |
|---|---|---|
2007 | DATE | configuration process,configuration controller,basic idea,dynamic voltage scaling,large latency,run time reconfigurable device,configuration prefetching,voltage assignment problem,configuration latency,idle time,configuration energy,interactive presentation,embedded systems,assignment problem,genetic algorithm |
Field | DocType | Citations |
Dynamic voltage scaling,Scheduling (computing),Latency (engineering),Computer science,Parallel computing,Voltage,Real-time computing,Assignment problem,Genetic algorithm,Idle time,Embedded system,Computation | Conference | 6 |
PageRank | References | Authors |
0.51 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Qu | 1 | 103 | 10.67 |
| Juha-Pekka Soininen | 2 | 147 | 23.41 |
| Jari Nurmi | 3 | 556 | 83.87 |