High-Radix Multiplier-Dividers: Theory, Design, and Hardware
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Bibliographic record
Abstract
This paper describes the theory and design of digital high-radix multiplier-dividers (Patent Pending). The theory of high-radix division is extended to high-radix multiplier-dividers that can perform fused multiplication and division operations using a single recurrence relation. With the fused implementation of multiplication and division, the two operations can be executed using a single instruction, implying only a single rounding operation. The recurrence relation is described, the quotient digit selection function derived, and important design parameters together with their optimal values and relations are defined. Efficient design procedure and implementation hardware are described and important system parameter values for various radix systems computed. Compared to pure dividers, the multiplier-divider requires a slightly more complex data path and quotient digit selection function.
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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 | 0.000 | 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) | 0.000 | 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