Design of a terabit free-space photonic backplane for parallel computing
Bibliographic record
Abstract
The design of a terabit free-space photonic backplane for parallel computing and communications is described. The backplane consists of a large number of parallel reconfigurable optical channels spaced a few hundred microns apart. The parallel channels are organized as a unidirectional ring and the channel access protocols are implemented by smart pixel arrays. Smart pixel arrays are integrated optoelectronic devices with optical I/O and with electronic processing capabilities. The design of a 32/spl times/32 smart pixel array which supports multiple reconfigurable broadcast channels and interfaces between tens of Gb/s of electrical data and hundreds of Gb/s of optical data is proposed. The photonic backplane interconnects 32 printed circuit boards (PCBs) and has a bisection bandwidth of 1 terabit/sec (Tb/s), with each PCB receiving a bandwidth of 32 Gb/s. The backplane can be dynamically reconfigured to support 1024 broadcast channels at 1 Gb/s, 32 broadcast channels at 32 Gb/s, or many intermediate values. The backplane can also embed arbitrary graphs, including meshes, hypercubes, shuffles, etc. Smart pixel arrays are currently being fabricated using AT&T's Hybrid SEED process, and a demonstration of the architecture interconnecting 4 PCBs is planned for the fall of 1995.
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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".