An optoelectronic multi-terabit cmos switch core for local area networks
Bibliographic record
Abstract
Optoelectronic integrated circuits can support thousands of integrated optical laser diodes and photodetectors bonded to a high-performance CMOS substrate, and can be used in the design of multi-Terabit optical local area networks. This paper describes the design of an integrated optoelectronic CMOS crossbar switch to interconnect approx. 128 parallel fiber ribbon optical links, each with 12 channels clocked at 2.5 Gigabit/sec, to achieve a local area network (LAN) with an aggregate capacity of 3.84 Terabits/second. A prototype switch core has been designed in 0.18 /spl mu/m CMOS technology. Logic optimization and synthesis was performed using the synopsis logic optimization tools, and VLSI layout was performed using the Cadence 2002 tools. It is shown that using 0.18 /spl mu/m CMOS technology, a 3.84 Terabit crossbar switch for an optoelectronic LAN occupies approx. 1.78 sq. cm of real estate, and consumes approx. 90 watts of power.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".