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| Content Provider | ACM Digital Library |
|---|---|
| Author | Annavaram, Murali Grochowski, Ed Reed, Paul |
| Abstract | As process technologies continue to scale, the magnitude of within-die device parameter variations is expected to increase and may lead to significant timing variability. This talk presents a quantitative evaluation of how low level device timing variations impact the timing at the functional block level. We evaluate two types of timing variations: random and systematic variations. The study introduces random and systematic timing variations to several functional blocks in Intel® Core™ Duo microprocessor design database and measures the resulting timing margins. The primary conclusion of this research is that as a result of combining two probability distributions (the distribution of the random variation and the distribution of path timing margins) functional block timing margins degrade non-linearly with increasing variability. |
| Starting Page | 68 |
| Ending Page | 68 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781605580487 |
| DOI | 10.1145/1353629.1353644 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-04-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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