Moore Law Transistor Density Endgame Note Lookup
Return a process-comparison caution for a caller-supplied transistor feature size instead of projecting Moore-law scaling.
Description
Feature-size bands offer a rough process-comparison context.
Feature-size bands offer a rough process-comparison context. A node label alone cannot determine density, cost, power or performance.1
The returned values include Feature size band, Scaling caution. The How section below explains the calculation, input rules and interpretation.
When to use Moore Law Transistor Density Endgame Note Lookup
Use Moore Law Transistor Density Endgame Note Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No transistor-density projection, Moore-law schedule or foundry equivalence is calculated.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Moore Law Transistor Density Endgame Note Lookup and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter featureSizeNanometers using the field table and calculation rules, then run the tool.
- Read featureSizeBand, scalingNote. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| featureSizeNanometers | Feature size nanometers (nm) | number; minimum: 0 | Required |
Require strictly positive finite nanometer value. Compare against fixed7/65/130 boundaries and return the corresponding band and caution.
bands: below7; [7,65); [65,130); at least130 nm Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| featureSizeBand | Feature size band | string |
| scalingNote | Scaling caution | string |
{
"input": {
"featureSizeNanometers": 3
},
"output": {
"featureSizeBand": "below 7 nm",
"scalingNote": "Treat further density gains as an open engineering question and do not extrapolate a historical rate as a schedule."
}
}Limitations and assumptions
No transistor-density projection, Moore-law schedule or foundry equivalence is calculated.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Wright Law Learning Curve Cost Doubling Lookup: Learning curves express a hypothetical unit-cost reduction per doubling of cumulative production. The chosen rate is an assumption, not an observed future trend. For a complementary task, use Kurzweil Law Accelerating Returns Lookup: Accelerating returns can be screened by comparing early and late annualized log growth in supplied milestones. Growth and acceleration are distinct.
References
Similar or alternative tools
- Wright Law Learning Curve Cost Doubling Lookup
Learning curves express a hypothetical unit-cost reduction per doubling of cumulative production. The chosen rate is an assumption, not an observed future trend.
- Kurzweil Law Accelerating Returns Lookup
Accelerating returns can be screened by comparing early and late annualized log growth in supplied milestones. Growth and acceleration are distinct.