An Improved Direct Dimension Exchange Method for Load Balancing in k-ary n-cube Multicomputers.
Bibliographic record
Abstract
This paper presents an improved direct dimension exchange method (DDE) for synchronous load balancing for k-ary n-cube multicomputers. The new method is based on the improved DEM for hypercube. The original DEM when extended to the k-ary n-cube requires many iterations in exchanging loads between neighboring nodes to converge to a balanced state. The original DDE does not requires iteratively exchanging loads between nodes. It can balance the load with fewer communication steps and can provide better load balancing quality than DEM. The improved DDE has better load balancing quality than the original DDE and has the same complexity of the original DDE. Keywords: dynamic load balancing, k-ary n-cube, multicomputer This research was supported by the National Sciences and Engineering Research Council of Canada 1 Introduction In a highly parallel multicomputer, time critical tasks can be executed quickly by splitting a task into sub-tasks. The sub-tasks are then executed in parallel...
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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 | 0.000 |
| 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".