A High-level Synthesis Design Flow from ESL to RTL with Multi-parametric Optimization Objective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AbstractHigh-level synthesis (HLS) has emerged as the most sophisticated way to bridge the gap between electronic system level (ESL) and its respective structural building block at the register transfer level (RTL). As the growth of system complexity rapidly increases, the gap between high level and RTL needs to be filled. Much advancement has been made in the area of HLS, but none of the works have focused on a formal design methodology that bridges the gap from ESL to RTL considering multi-parametric optimization requirements. This paper exclusively focuses on the formal steps required for multi-parametric optimized HLS design flow. This is significant for industrial projects as well as for the development of fully automated HLS tools for the current generation of portable devices and high-end applications. The design flow initiates with the mathematical model of the application, performs multi-objective design space exploration and finally shows all the steps necessary after exploration for the HLS des...
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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