Design and VLSI evaluation of a high-speed cellular array divider with a selection function
Why this work is in the frame
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Bibliographic record
Abstract
In recent years, very fast dividers have been required for the real-time application of digital signal processing, robot control, and the like. This paper proposes a high-speed cellular array divider with a selection function that is based on the non-restoring algorithm and can deal with both fixed-point and negative operands in two's complement form. This divider uses new techniques that can generate in parallel both the quotient bit of one row and a partial remainder and CLS bit of the next row. The delay time of the proposed divider is calculated in terms of a delay of one unit such as a NAND gate. Finally, by using PARTHENON, a CAD (computer-aided design) system for VLSI, this divider is designed and evaluated. As a result, elimination of the delay time for even rows becomes possible. Thus, the delay time can be decreased to approximately one half that of the high-speed divider proposed by Cappa and Hamacher, which uses the most general high-speed techniques of carry-save and CLA.
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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 | 0.001 | 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 | 0.000 |
| 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 it