This means that when different manufacturers use a different transistor design, their 'nm' process could be the same but their transistor density different.
We could just divide total gates by surface area for the chip, but that would confuse the process efficiency with the implementation details and then we sacrifice instructions per second for a marketing number.
mm² is perfectly adequate for what we are after.
"how large a planar FET should be for the transistor density used in this process"
Is this the case, I'm not entirely sure. If it is, there be a better unit for this measurement, absolutely.
PLANETS: PLANar Equivalent Transistor Size
Or hire a marketing team to figure a good one.
It's the same situation as when AMD started putting numbers in their Athlon XP SKUs to tell "this CPU performs just as good as intel of that frequency".
I, for one, think it makes sense. Because as I consumer I don't care about actual transited length or density, all I care about is: performance, efficiency, price. I can assume that going from TSMC N5 to TSMC N3 would result in an increase in efficiency and performance.
People that do care about those things (i.e. electrical engineers) most likely don't use marketing materials...
The nm has always been a very rough approximate proxy for transistor density. Nothing has really changed about how what the number implies.
I find it so weird how so many people on hacker is so hung up on the “nm” numbering. None of these people are designing standard cell libraries and those that actually design standard cell libraries never cared about what’s in the marketing material anyway.
Lowe number means higher transistor density in some ways, on some parts of the chip. That’s all
http://dataphys.org/list/grace-hopper-nanoseconds/
and the field of play here isn't 1D linear .. it's somewhere sort of a bit slightly > 2D (elements can be stacked, there are limitations on how much and how close)
Time to kick an ants nest here...
Quantum mechanics is a useless study that had no business being a scientific field. The most fundamental principles, like quantum superposition, can never be tested or validated and therefore could never be used to be predictive of anything other than similarly theoretical ideas.