Digitally programmable SRAM timing for nano-scale technologies
Bibliographic record
Abstract
Embedded memory is a critical component of modern SOCs. In highly scaled CMOS, process variability and device aging degradation cause a significant increase in the soft failure rate of embedded SRAMs. As process technology continues to scale, these issues become more pronounced, especially when the device is operating at its minimum operating voltage, V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD MIN</sub> . This failure rate can even exceed the maximum repair capacity of the SRAM resulting in yield loss. Guard bands in signal timing can be introduced to mitigate this loss, however it comes at the cost of excessive power dissipation and read access time. Digitally programmable timing allows for a code based, post-fabrication optimization approach to reduce the soft failure rate, and in turn maximize yield, while minimizing excessive power dissipation and read access time. Additionally, the digital code can be re-calibrated over time to compensate for continued device parameter drift due to aging degradation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".