Modeling and evaluation of a hierarchical ring interconnect for system-on-chip multiprocessing
Bibliographic record
Abstract
This thesis proposes a software model for a multiprocessor system, which is targeted for SoC implementation. The proposed design is based on the two-level ring architecture adopted in the NUMAchine multiprocessor developed at University of Toronto. The proposed system reconsiders the interconnect design alternatives for smaller design area and energy consumption. The system uses an alternative memory architecture to reduce logic complexity, as well as a different deadlock prevention scheme to reflect changes in memory architecture. The software model is implemented in the SystemC modeling language, which allows high-level behavior modeling to reduce both the development time and the simulation time. The model is also at a level of detail which reflects true communication characteristics on the interconnect network. Burst length, memory access latency, FIFO depth, and the operating frequencies for the rings are the four key SoC design parameters which have been identified and optimized for the system.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".