A high throughput architecture for channel equalization based on a neural network using a wave pipeline method
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Bibliographic record
Abstract
The use of a wave pipelining method for the design of a systolic architecture dedicated to channel equalization is proposed. A description is given of the piecewise linear multilayer neural network (PL-MNN) algorithm and the architecture. To improve the throughput of the architecture we propose a wave-pipelined version of the multiplier-accumulator (MAC) the presents the bottleneck of the architecture. A 16/spl times/8-bit MAC is performed using a normal process complementary pass transistor (NPCPL) as a universal cell for the creation of conventional logic gates and is used to optimize the wave pipelined MAC. The throughput and the latency of the MAC have been evaluated at 650 MHz and 8 ns respectively. The performance has been evaluated in a 0.5 /spl mu/m CMOS technology in comparison with the systolic architecture with and without a conventional pipeline and the proposed wave pipeline structure.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it