GALDS: a complete framework for designing multiclock ASICs and SoCs
Bibliographic record
Abstract
A Globally Asynchronous, Locally Synchronous (GALS) system with dynamic voltage and frequency scaling can use the slowest frequency possible to accomplish a task with minimal power consumption. With the mechanism for implementing dynamic voltage scaling at each synchronous domain left up to the designer, our Globally Asynchronous, Locally Dynamic System (GALDS) provides a top-down, system-level means to maximize power reduction in an integrated circuit and facilitate system-on-a-chip (SoC) design. Our solution includes three distinct components: a novel bidirectional asynchronous FIFO to communicate between independently clocked synchronous blocks , an all-digital dynamic clock generator to quickly and glitchlessly switch between frequencies and a digitally controlled oscillator to generate the global fixed frequency clocks required by the all-digital dynamic clock generator. In addition to being capable of reducing power consumption when combined with dynamic voltage scaling, a GALDS design benefits from numerous other advantages such as simplified clock distribution, high performance operation and faster time-to-market through the modular nature of the architecture.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".