Integrated scheduling, allocation and binding in High Level Synthesis for performance-area tradeoff of digital media applications
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a novel Genetic Algorithm based exploration approach for integrated scheduling, allocation and binding in High Level Synthesis for Digital Media applications. The contributions of the proposed approach in this paper are: (a) Exploration of performance-hardware area tradeoffs of DSP digital media applications (b) Novel multi structure topology for chromosome encoding (c) Introduction of a novel cost function based on data pipelined performance-hardware area constraints (d) Novel load factor heuristic for chromosome decoding (e) Novel seeding process of the initial population based on serial and parallel implementation logic (f) Novel merit score (M-score) technique to assess the efficiency of the proposed approach (g) Novel cost value (C-value) metric that assesses the quality of final integrated solution. The proposed approach obtained an improvement of ≈ 2 % in quality of final solution compared to a current technique as well as achieved an efficiency of 58.33 % compared to same current approach, when applied on the digital media applications.
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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 | 0.001 |
| 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