SPTPL: A NEW PULSED LATCH TYPE FLIP-FLOP IN HIGH-PERFORMANCE SYSTEM-ON-A-CHIP (SoC)
Bibliographic record
Abstract
In many VLSI chips, the power dissipation of the clocking system that includes clock distribution network and flip-flops is often the largest portion of total chip power consumption. In the near future, this portion is likely to dominate total chip power consumption due to higher clock frequency and deeper pipeline design trend. Traditionally, two approaches have been used: (1) to reduce power consumption in the clock tree, several low-swing clock flip-flops and double-edge flip-flops have been introduced; (2) to reduce power consumption in flip-flops, conditional capture, clock-on-demand, data-transition look-ahead techniques have been developed. Recently, pulsed latch type flip-flops are introduced in several high-performance microprocessors to reduce E × D. In this paper, these flip-flops are described with their pros and cons. Then, a new circuit technique is described along with simulation results. The proposed pulsed latch reduces E × D by 82.6% to 95.4% compared to conventional flip-flops.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".