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| Content Provider | ACM Digital Library |
|---|---|
| Author | Suh, G. Edward Rucker, Alexander Chen, Tao |
| Abstract | Many mobile applications utilize hardware accelerators for computation-intensive tasks. Often these tasks involve real-time user interactions and must finish within a certain amount of time for smooth user experience. In this paper, we propose a DVFS framework for hardware accelerators involving real-time user interactions. The framework automatically generates a predictor for each accelerator that predicts its execution time, and sets a DVFS level to just meet the response time requirement. Our evaluation results show, compared to running each accelerator at a constant frequency, our DVFS framework achieves 36.7% energy savings on average across a set of accelerators, while only missing 0.4% of the deadlines. The energy savings are only 3.8% less than an optimal DVFS scheme. We show with the introduction of a boost level, the deadline misses can be completely eliminated while still achieving 36.4% energy savings. |
| Starting Page | 457 |
| Ending Page | 469 |
| Page Count | 13 |
| File Format | |
| ISBN | 9781450340342 |
| DOI | 10.1145/2830772.2830798 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-12-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Hardware accelerator Energy efficiency Dvfs |
| Content Type | Text |
| Resource Type | Article |
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