Application-driven floorplan-aware voltage island design
Bibliographic record
Abstract
Among the different methods of reducing power for core-based system-on-chip (SoC) designs, the voltage island technique has gained in popularity. Assigning cores to the different supply voltages and floorplanning to create contiguous voltage islands are the two important steps in the design process. We propose a new application-driven, floorplan-aware approach to voltage partitioning and island creation with the objective of reducing overall SoC power, area and runtime. Previous approaches used the voltage assignment table as the starting point for voltage island creation. In this paper, we present a technique to generate a voltage assignment table using dynamic programming. Next, we partition the cores into islands, based on the Power State Model (PSM) of the application, and connectivity information used in floorplanning. Finally, solutions are sent to the floorplanner in sequence until a valid solution is reached. Compared to previously reported techniques, a 10% reduction in power and 8% reduction in area are achieved using our approach, with an average runtime improvement of 2.3X.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".