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
Just-In-Time (JIT) compilation is frequently used in software engineering to accelerate program execution. Parts of the code are translated to machine code at runtime to speedup their execution by exploiting local and dynamic information of the computation. Modern FPGAs manufactured by Xilinx allow partial and dynamic configuration. Such features make them eligible platforms for JIT hardware compilation. Nevertheless, this has not been achieved until now because the mapping between a bitstream and the programmable points inside these FPGAs is not documented. In this article, we propose a methodology to retrieve the relevant information in logarithmic time per bit by methodically using the tools distributed by Xilinx. We give a practical case study which details the analysis of a Virtex-II Pro FPGA bitstream. The mapping of CLBs, BRAMs, and multipliers has been fully determined. Thanks to this information, we have been able to prototype tools in the fields of reverse mapping FPGA bitstreams, low-level simulation, and custom place-and-route. Finally preliminary results demonstrate that a processor embedded in an FPGA can compile, place, and route arithmetic and logic expressions inside the FPGA within a few milliseconds.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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