Performance improvement of configurable processor architectures using a variable clock period
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Bibliographic record
Abstract
Programmable and configurable processors are becoming increasingly popular for embedded wearable devices. In configurable processors technology it is a common practice to define specialized instructions in order to boost the performance of the device. These instructions may not fit in a single clock period and therefore, may require two clock periods for completion of a given task. In the past, we have proposed a method to generate a clock where each cycle can have a different length, and in this paper we investigate the performance gain it can give compared to standard clocking. Using our variable fractional clock period method, a gain of more than 10% in performance is easily obtained, with a maximum of 21%, compared to current best clocking techniques used in extensible configurable processors. We also show that the overall speedup of our method follows the well known Amdahl's law, but without quantization of the acceleration factor.
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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