The operational speed and power dissipation of scaled one-transistor RTD/HFET memories
Bibliographic record
Abstract
The scaling behaviour of a memory that uses resonant tunnelling diodes (RTDs), namely the one-transistor tunnelling SRAM (TSRAM), is compared with the dominant memory technology, silicon CMOS. The minimum feature size (MOSFET or HFET gate length λ) is scaled in the range from 500 nm to 50 nm. Appropriate scaling laws are used for the RTD and wiring elements. We set up a benchmark architecture that we have modelled in RTD/HFET and in silicon CMOS, and simulated with HSPICE, in order to determine the limits on operational frequency. The RTD-based memories show speeds about an order of magnitude higher than the equivalent CMOS memory, even for very large memories. The performance improves with smaller values of λ and smaller memory sizes. However, for larger memories, the power dissipation outside TSRAM memory cells is still very high for enhancement/depletion (E/D) HFET circuitry.
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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".