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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hua, Shaoxiong Qu, Gang Bhattacharyya, Shuvra S. |
| Copyright Year | 2006 |
| Abstract | This paper develops energy-driven completion ratio guaranteed scheduling techniques for the implementation of embedded software on multiprocessor systems with multiple supply voltages. We leverage application's performance requirements, uncertainties in execution time, and tolerance for reasonable execution failures to scale each processor's supply voltage at run-time to reduce the multiprocessor system's total energy consumption. Specifically, we study how to trade the difference between the system's highest achievable completion ratio $Q^{max}$ and the required completion ratio $Q_{0}$ for energy saving. First, we propose a best-effort energy minimization algorithm (BEEM1) that achieves $Q^{max}$ with the provably minimum energy consumption. We then relax its unrealistic assumption on the application's real execution time and develop algorithm BEEM2 that only requires the application's best- and worst-case execution times. Finally, we propose a hybrid offline on-line completion ratio guaranteed energy minimization algorithm (QGEM) that provides the required $Q_{0}$ with further energy reduction based on the probabilistic distribution of the application's execution time. We implement the proposed algorithms and verify their energy efficiency on real-life DSP applications and the TGFF random benchmark suite. BEEM1, BEEM2, and QGEM all provide the required completion ratio with average energy reduction of 28.7, 26.4, and 35.8%, respectively. |
| Starting Page | 321 |
| Ending Page | 341 |
| Page Count | 21 |
| File Format | |
| ISSN | 15399087 |
| e-ISSN | 15583465 |
| DOI | 10.1145/1151074.1151078 |
| Volume Number | 5 |
| Issue Number | 2 |
| Journal | ACM Transactions on Embedded Computing Systems (TECS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-05-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Energy minimization Completion ratio Hardware/software co-design Multi-processor Multiple voltage |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture Software |
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