Java TM just-in-time compiler and virtual machine improvements for server and middleware applications
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
This paper describes optimization techniques recently applied to the Just-In-Time compilers that are part of the IBM® Developer Kit for JavaTM and the J9 Java virtual machine specification. It focusses primarily on those optimizations that improved server and middleware performance. Large server and middleware applications written in the Java programming language present a variety of performance challenges to virtual machines (VMs) and justin-time (JIT) compilers; we must address not only steady-state performance but also start-up time. In this paper, we describe 12 optimizations that have been implemented in IBM products because they improve the performance and scalability of these types of applications. These optimizations reduce, for example, the overhead of synchronization, object allocation, and some commonly used Java class library calls. We also describe techniques to address server start-up time, such as recompilation strategies. The experimental results show that the optimizations we discuss in this paper improve the performance of applications such as SPECjbb2000 and SPECjAppServer2002 by as much as 10-15%.
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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