An EGA approach to the compile-time assignment of data to multiple memories in digital-signal processors
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we present a methodology, based on an Enhanced Genetic Algorithm (EGA), for assigning data objects to dual-bank memories. Our approach is global, and special effort is made to identify those objects that could potentially benefit from an assignment to a specific memory, or perhaps duplication in both memories. The enhancements to the genetic algorithm include a directed mutation operator and a new type of elitism. Together, these enhancements improve the performance of the genetic algorithm and allow the EGA to run unsupervised. The EGA has been incorporated into a retargetable, optimizing compiler for embedded systems, currently under development at the University of Guelph.
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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 | 0.001 |
| Open science | 0.006 | 0.002 |
| 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