Sparsity-Aware 25-Gb/s Memory Link With 0.0375-pJ/bit Signaling Efficiency for Machine Learning Hardware
Why this work is in the frame
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Bibliographic record
Abstract
This work describes a multiplication and accumulation (MAC) accelerator integrated with a memory interface. The link is designed to take advantage of naturally existing sparsity in a neural network. The link operating at 16 Gb/s achieves 0.1875-pJ/bit signaling efficiency for random data but, for sparse data, signaling efficiency can improve to 0.0375 pJ/bit. Similarly, the MAC unit accelerates the computation utilizing the phase domain accumulation process and provides a 40% improvement in energy efficiency for sparse data and at the same achieves inference accuracy of 94% for the MNIST data set.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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