Optimal design of synchronous circuits using software pipelining techniques
Bibliographic record
Abstract
We present a method to optimize clocked circuits by relocating and changing the time of activation of registers to maximize the throughput. Our method is based on a modulo scheduling algorithm for software pipelining, instead of retiming. It optimizes the circuit without the constraint on the clock phases that retiming has, which permits to always achieve the optimal clock period. The two methods have the same overall time complexity, but we avoid the computation of all pair-shortest paths, which is a heavy burden regarding both space and time. From the optimal schedule found, registers are placed in the circuit without looking at where the original registers were. The resulting circuit is a multi-phase clocked circuit, where all the clocks have the same period and the phases are automatically determined by the algorithm. Edge-triggered flip-flops are used where the combinational delays exactly match that period, whereas level-sensitive latches are used elsewhere, improving the area occupied by the circuit. Experiments on existing and newly developed benchmarks show a substantial performance improvement compared to previously published work.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".