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
Saving and restoring an FPGA task state in an orderly manner is essential to enable hardware checkpointing, which is highly desirable to improve the ability to debug cloud-scale hardware services, and context switching, which allows multiple users to share FPGA resources. However, these features require task interruption, and stopping a task at an arbitrary time can cause several hazards including deadlock and data loss. In this article, we build a context saving and restoring simulator to simulate and identify these hazards. In addition, we derive design rules that should be followed to achieve safe task interruption. Finally, we propose task wrappers that can be placed around an FPGA task to implement these rules. The timing and area overheads added by these wrappers are very small; they add 1.8% area and no timing overhead to a full Memcached system. Taken together, these design rules and wrappers enable safe checkpointing and context switching in a wide variety of FPGA tasks, including those with multiple clocks, multi-cycle I/O transactions, and interface dependencies.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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