A mismatch-dependent power allocation technique for match-line sensing in content-addressable memories
Why this work is in the frame
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Bibliographic record
Abstract
In the conventional content-addressable memory (CAM), equal power is consumed to determine if a stored word is matched to a search word or mismatched, independent of the number of mismatched bits. This paper presents a match-line (ML) sensing scheme that allocates less power to match decisions involving a larger number of mismatched bits. Since the majority of CAM words are mismatched, this scheme results in a significant CAM power reduction. The proposed ML sensing scheme is implemented in a 256 × 144-bit ternary CAM for a 0.13-μm 1.2-V CMOS logic process. For a 2-ns search time on a 144-bit word, the proposed scheme saves 60% of the power consumed by the conventional sensing scheme.
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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 | 0.002 | 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 | 0.001 |
| 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 it