Fault-tolerance for multistage interconnection networks
Bibliographic record
Abstract
A new fault-tolerant multistage interconnection network architecture is proposed. Using k redundant processors and f redundant switching elements per stage, the authors scheme can tolerate any k processor failures and any f switching element failures per stage. A fault-tolerant multistage interconnection network constructed using their scheme can operate as if it is a non-redundant multistage interconnection network. That is, no additional control information is necessary for routing even when some initial processors and initial switching elements have already failed and been replaced. Furthermore, the reconfiguring process of replacing failed processors and failed switching elements with spare ones can be carried out distributively. The authors scheme also compares favorably with other proposed fault-tolerant multistage interconnection architectures in terms of extra hardware requirements and it can also provide higher system reliability than other proposed schemes. Finally, even for systems with a large number of processors, n>or=1024, their scheme can still achieve very high reliability. Hence, their scheme is well-suited for use in long-life unmaintained applications.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 | 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".