Variable-segment & variable-driver parallel regeneration techniques for RLC VLSI interconnects
Bibliographic record
Abstract
Repeaters are now widely used to enhance the performance of long On-Chip interconnects in CMOS VLSI. For RC-modeled interconnects, parallel repeaters have proved to be superior to serial ones. In this paper, a Variable-Segment Regeneration Technique is introduced and compared with a Variable-driver Parallel Technique, a recently proposed transparent repeater and with three conventional techniques. HSpice Simulations using a 0.25 μm TSMC technology show that both the variable-segment and variable-driver techniques feature 62% time delay saving and 354% Area-Delay product saving over the transparent repeater, and are superior to all conventional techniques. However, our new variable-segment technique is characterized by a 116% Area-Delay product saving over the variable-driver technique. Thus, making it the most performant in the field of high-performance RLC interconnect regeneration. The simulation results confirm the superiority of the parallel regeneration technique over the serial ones.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".