Low jitter guaranteed-rate communications for cluster computing systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Low latency high bandwidth networks are key components in large scale computing systems. Existing systems use dynamic algorithms for routing and scheduling cell transmissions through switches. Due to stringent time requirements, dynamic algorithms have suboptimal performances, which limit throughputs to well below peak capacity. It is shown that Guaranteed-Rate communications can be supported over switch-based networks with 100% throughput and very low delay jitter, provided that each switch has the capacity to buffer a small number of cells per flow. An algorithm is used to reserve guaranteed bandwidth and buffer space in the switches, resulting in the specification of a doubly stochastic traffic rate matrix for each switch. Each switch schedules the Guaranteed-Rate traffic for transmission according to a resource reservation algorithm based on Recursive Fair Stochastic Matrix Decomposition. Very low delay jitters can be achieved among all simultaneous flows while simultaneously achieving 100% throughput in each switch. When receive buffers of bounded depth are used to filter residual network jitter at the destinations, end-to-end traffic flows can be delivered with essentially zero delay jitter. The algorithm is suitable for the switch-based networks found in commercial supercomputing systems such as Fat Trees, and for silicon Networks-on-a-Chip.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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 it