a synergy between efficient interpretation and fast selective dynamic compilation for the acceleration of embedded Java virtual machines
Why this work is in the frame
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Bibliographic record
Abstract
We propose, in this paper, a technique for the acceleration of embedded Java virtual machines. The technique relies on an established synergy between e±cient interpretation and selective dynamic compilation. Actually, e±cient interpretation is achieved by a generated threaded interpreter that is made of a pool of codelets. The latter are native code units e±ciently implementing the dynamic semantics of a given bytecode. Besides, each codelet carries out the dispatch to the next bytecode eliminating therefore the need for a costly centralized traditional dispatch mechanism. The acceleration technique described in this paper advocates the use of a selective dynamic compiler to translate performance-critical methods to native code. The translation process takes advantage of the threaded interpreter by reusing most of the previously mentioned codelets. This tight collaboration between the interpreter and the dynamic compiler leads to a fast and lightweight (in terms of footprint) execution of Java class files.
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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 | 0.000 |
| 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