An Instruction Scratchpad Memory Allocation for the Precision Timed Architecture
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a static instruction scratchpad memory allocation scheme for the precision timed architecture (PRET). Since PRET provides timing instructions to control the temporal execution of programs, the objective of the allocation scheme is to ensure that the explicitly specified temporal requirements are met. Furthermore, this allocation incorporates the timing requirements from the multiple hardware threads of the PRET architecture. We formulate the allocation problem as an integer-linear programming problem, and we implement a tool that takes compiled ARMv4 binaries, constructs a timing-requirements-aware control-flow graph, performs a WCET analysis and SPM allocation, and rewrites the binaries with the allocation. We evaluate our approach using a modified version of the Malardalen benchmarks to show the benefits of the proposed approach. We also present a UAV benchmark derived from the PapaBench benchmark.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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