More enhancements of the simplescalar tool set
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
An earlier paper described enhancements to the SimpleScalar tool set for functional multiprocessor simulation and visualization of cache coherence, and the software was made available at http://www.simplescalar.org. This paper describes additional enhancements to the SimpleScalar tool set. The enhancements include memory access visualization for uniprocessor and multiprocessor simulation, mnltiprocessor enhancement of the DLite! debugger that is included with SimpleScalar, modifications to the GNU tools to use conventional register names in assembly language, and a tool to embed C source code as comments in the assembly language output of the compiler. These enhancements were inspired in part by research needs and in part by a desire to improve the utility of the SimpleScalar tool set in education. Undergraduate and graduate students at Queen's University have used several of these enhancements in both coursework and research, and the software for the enhancements will be released for wider use in the computer architecture community.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 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