A memory coherence technique for online transient error recovery of FPGA configurations
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
The partial reconfiguration feature of some of the current-generation Field Programmable Gate Arrays (FPGAs) can improve dependability by detecting and correcting errors in on-chip configuration data. Such an error recovery process can be executed online with minimal interference of user applications. However, because Look-up Tables (LUTs) in Configurable Logic Blocks (CLBs) of FPGAs can also implement memory modules for user applications, a memory coherence issue arises such that memory contents in user applications may be altered by the online configuration data recovery process. In this paper, we investigate this memory coherence problem and propose a memory coherence technique that does not impose extra constraints on the placement of memory-configured LUTs. Theoretical analyses and simulation results show that the proposed technique guarantees the memory coherence with a very small (on the order of 0.1%) execution time overhead in user applications.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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