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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kang, Dong-In Crago, Stephen Suh, Jinwoo |
| Abstract | This paper presents an end-to-end synthesis technique for low-power distributed real-time system design. This technique synthesizes supply voltages of resources to optimize system-level power consumption while satisfying end-to-end hard real-time latency bounds. A system is modeled as a set of distributed task chains (or pipelines). Each task chain is given its own end-to-end constraints. Task chains may share resources. Our approach searches the space of the trade-off between end-to-end latency and supply voltages of resources to minimize system-level power consumption. A power optimization algorithm is proposed for simple distributed real-time systems that do not have any resource sharing between task chains, and its optimality is shown. For more general systems, a heuristic based on the same techniques is proposed. |
| Starting Page | 20 |
| Ending Page | 28 |
| Page Count | 9 |
| File Format | |
| ISBN | 1581134266 |
| DOI | 10.1145/384198.384203 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2001-08-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Voltage scaling Synthesis Real-time Distributed system |
| Content Type | Text |
| Resource Type | Article |
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