Bibliographic record
Abstract
Our work concentrates on high-level optimization of the power of clock network, which is a relatively new area. Our work includes two parts: activity-sensitive clock design for low power and low power clock based on clock frequency reduction. In the activity-sensitive clock design, we introduce the term of node difference based on module activity information, and show its relationship with power consumption. Merging power is used to measure the power cost of merging two nodes. A binary clock tree is built based on the merging power between different modules to optimize the power consumption due to interconnections (i.e., clock gating signals and clock edges). We also develop a method to determine the gating signals with least transitions. After the clock tree is constructed, we apply a local optimization on gating signals to further reduce the power consumption. In the clock frequency reduction, we propose a high-level power optimization scheme with two techniques: operator chaining, multiple clocks. (Abstract shortened by UMI.)Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .K36. Source: Masters Abstracts International, Volume: 41-04, page: 1153. Adviser: Chunhong Chen. Thesis (M.A.Sc.)--University of Windsor (Canada), 2002.
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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 | 0.000 |
| 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 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".