DVS: an object-oriented framework for distributed Verilog simulation
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
Abstract There is a wide-spread usage of hardware design lan-guages(HDL) to speed up the time-to-market for the design of modern digital systems. Verification engineers can sim-ulate hardware in order to verify its performance and correctness with help of an HDL. However, simulation can'tkeep pace with the growth in size and complexity of circuits and has become a bottleneck of the design process. Dis-tributed HDL simulation on a cluster of workstations has the potential to provide a cost-effective solution to this prob-lem. In this paper, we describe the design and implementa-tion of DVS, an object-oriented framework for distributed Verilog simulation. Verilog is an HDL which sees wide in-dustrial use. DVS is an outgrowth of Clustered Time Warp, originally developed for logic simulation. The design of theframework emphasizes simplicity and extensibility and aims to accommodate experiments involving partitioning and dy-namic load balancing. Preliminary results obtained by simulating a 16bit multiplier are presented. 1
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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