Accelerating embedded Java for mobile devices
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
With the proliferation of wireless devices, networks, and systems, the deployment of efficient embedded Java virtual machines is becoming a challenging and important research area. Accordingly, a plethora of acceleration techniques have been proposed. In this article we present a new acceleration technology that we developed for embedded Java virtual machines. Acceleration is achieved by the integration of a new selective dynamic compiler, which we called Armed E-Bunny, into the J2ME/CLDC (Java 2 Micro-Edition for Connected Limited Device Configuration) kilobyte virtual machine (KVM). The modified KVM is ported on a handheld PDA that is powered with embedded Linux. Experimental results demonstrate that we accomplished an important speedup (more than 360 percent) with respect to Sun's latest version of KVM. This experimentation was carried out using standard J2ME benchmarks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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