Stop and Look: A Novel Checkpointing and Debugging Flow for FPGAs
Bibliographic record
Abstract
Hardware checkpointing enables live migration, fault recovery, and context switching, but has been difficult to achieve for FPGA applications. We detail techniques to checkpoint complex FPGA designs and develop StateMover, a new checkpoint-based debugging flow for FPGAs that combines the speed of hardware execution with the full observability and controllability of simulation. StateMover can safely stop a running design and seamlessly move its state back and forth between an FPGA and a simulator. StateMover can create complete design checkpoints even for designs that have multi-cycle I/O interfaces, contain buried state that is not accessible by FPGA readback, and use external memories. StateMover and its associated IPs allow a designer to quickly make a design checkpointable, with a small area overhead. Moving the state from/to an FPGA to/from a simulator can be performed in a few seconds for large Xilinx UltraScale FPGAs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".