A static power reduction technique for ternary content addressable memories
Why this work is in the frame
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Bibliographic record
Abstract
Ternary content addressable memories (TCAMs) are attractive for high-speed packet forwarding and classification in network switches and routers. Traditionally, the static power in TCAMs has been a small fraction of the total power due to high activity of TCAMs. However, technology scaling and architecture level techniques are reducing the dynamic power of TCAMs. The technology scaling is also increasing the off-current of transistors. Hence, the static power is becoming a significant portion of the total power consumption in TCAMs. This paper presents a technique to reduce the static power in SRAM-based TCAMs without affecting the speed of operation. We analyze the circuits and present the trade-offs of using this power reduction technique. The simulation results show a significant reduction in the static-power (up to a factor of 11) for an SRAM-based TCAM in 0.13 /spl mu/m technology.
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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 | 0.000 | 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 | 0.001 |
| 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