Exploiting multi-band transmission line interconnects to improve the efficiency of cache coherence in multiprocessor system-on-chip
Bibliographic record
Abstract
Main-stream general-purpose microprocessors integrate a growing number of cores on-chip, requiring high-performance interconnects and efficient cache coherence for data transmission and sharing. Conventional directory-based cache coherence has high indirection overhead, which adds to the critical path of data requests and lowers overall system performance. In fact, with globally shared high-performance interconnects, cache coherence could be optimized and the indirection overhead could be relieved. This paper explores the use of multi-band transmission lines to implement globally shared interconnects. Taking advantage of the aggregate frequency band resources, the proposed interconnect supports efficient multi-cast, and helps improve the efficiency of cache coherence with augmented parallelism. Coherence indirections are avoided, and we have seen an average of 17% boost in application performance, as well as an average of 18% throughput improvement compared to an implementation of conventional cache coherence on single-band transmission line based interconnects.
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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 | 0.001 | 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 | 0.000 | 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 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".