An Efficient Real-time Data Pipeline for the CHIME Pathfinder Radio\n Telescope X-Engine
Bibliographic record
Abstract
The CHIME Pathfinder is a new interferometric radio telescope that uses a\nhybrid FPGA/GPU FX correlator. The GPU-based X-engine of this correlator\nprocesses over 819 Gb/s of 4+4-bit complex astronomical data from N=256 inputs\nacross a 400 MHz radio band. A software framework is presented to manage this\nreal-time data flow, which allows each of 16 processing servers to handle 51.2\nGb/s of astronomical data, plus 8 Gb/s of ancillary data. Each server receives\ndata in the form of UDP packets from an FPGA F-engine over the eight 10 GbE\nlinks, combines data from these packets into large (32MB-256MB) buffered\nframes, and transfers them to multiple GPU co-processors for correlation. The\nresults from the GPUs are combined and normalized, then transmitted to a\ncollection server, where they are merged into a single file. Aggressive\noptimizations enable each server to handle this high rate of data; allowing the\nefficient correlation of 25 MHz of radio bandwidth per server. The solution\nscales well to larger values of N by adding additional servers.\n
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".