Monitoring-Aware Virtual Platform Prototype of Heterogeneous NoC-Based Multicore SoCs
Bibliographic record
Abstract
We present an open SystemC-based virtual platform that fits the design flow of heterogeneous, self-adaptive shared memory-based multicore SoCs by supporting concept validation and verification of equivalent RTL models, early software development of corresponding system drivers and efficient design space exploration at an early stage of the design. We examine connectivity, functionality and interaction among its components, such as CPU, memory and NoC, and outline innovative features related to supporting system-level monitoring via time-driven and event-based shared memory primitives. As a case-study, we consider co-simulation of shared memory-based array processing using cycle-approximate ARM Cortex-A9 processor models in the presence of application load balancing and best-effort memory bandwidth sharing, e.g. arising from a service-level agreement. Besides improving performance (10% to 23%), we quantify the very low intrusiveness of the shared-memory and processor (load balancing) monitoring probes, together they contribute less than 0.005% to the total execution time.
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.
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 | 0.000 | 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 | 0.000 | 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".