A 0.8V, 9ns, 0.77mW at 50MHz, 128kb, four-way, set-associative, 2-level CMOS cache memory using two-stage WLOTC/BLOTC tag-compare scheme and sense wordlines/bitlines (SWL/SBL) tag sense amps with an 8-T tag cell in level 2 and a 10-T shrunk logic swing (SLS) memory cell with the ground/floating (G/F) data sense amp in level 1
Bibliographic record
Abstract
This paper presents a 0.8V, 128Kb, four-way, set-associative, 2-level CMOS cache memory using a novel two-stage WLOTC/BLOTC tag-compare scheme and sense wordlines/bitlines (SWL/SBL) tag sense amps with an 8-T tag cell in level 2 and a 10-T shrunk logic swing (SLS) memory cell with the ground/floating (G/F) data sense amp in level 1 for high-speed operation. Owing to the reduced loading at the sense word-line (SWL) in the new 11-T tag cell in L1 using WLOTC scheme and the split comparison of the index signal in the 8-T tag cells with SWL/SBL tag sense amps and the SLS memory cell with G/F data sense amp in L1, implemented by a 1.8V 0.18µm CMOS technology, this 0.8V cache memory has an L1/L2 hit time of 6ns/11ns at the average power dissipation of 0.77mW at 50MHz.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".