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| Content Provider | ACM Digital Library |
|---|---|
| Author | Roy, Sanghamitra Zhang, Jeff Jun Chen, Hu Chakraborty, Koushik Yasin, Atif Garg, Siddharth |
| Abstract | In this paper, we address the problem of timing speculation for multi-threaded workloads executing on a multi-core processor. Our approach is based on a new observation --- heterogeneity in path sensitization delays across different threads in multi-threaded programs. Leveraging this heterogeneity, we propose Synergistic Timing Speculation (SynTS) to jointly optimize the energy and execution time of multithreaded applications. In particular, SynTS uses a sampling based online error probability estimation technique, coupled with a polynomial time algorithm, to optimally determine the voltage, frequency and the amount of timing speculation for each thread. Our experimental evaluations, based on detailed cross-layer simulations, demonstrate that SynTS reduces energy delay product by up to 21%, compared to existing timing speculation schemes. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450342360 |
| DOI | 10.1145/2897937.2898102 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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