Using reconfigurability to achieve real-time profiling for hardware/software codesign
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
Embedded systems combine a processor with dedicated logic to meet design specifications at a reasonable cost. The attempt to amalgamate two distinct design environments introduces many problems, one being how to partition a single design for the two platforms to achieve the best performance with the least effort. Since the latest FPGA technology allows the integration of soft or hard CPU cores with dedicated logic on a single chip, this presents new opportunities for addressing hardware/software codesign issues in the FPGA design process by utilizing the reconfigurable environment.This paper introduces SnoopP, a non-intrusive, real time, profiling tool. The user is able to obtain a clock cycle accurate profile of the real time performance of a software program running on a soft-core processor instantiated on an FPGA. SnoopP is an essential tool for hardware/software codesign on a reconfigurable platform. It allows the user to quickly obtain accurate profiling information that may greatly influence the partitioning of the design.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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