6 ms·
We are a lot closer to the Landauer limit than I thought
- gary_0 3y agohttps://nitter.net/realGeorgeHotz/status/1690452184851435520 https://nitter.net/realGeorgeHotz/status/1690452184851435520
- tbrownaw 3y agoThe original link works fine with no login requirement or anything?
- gary_0 3y agoIt doesn't show the whole thread, Nitter does.
- mdp2021 3y ago> the whole thread, Nitter does (Sorry, transversal practical question.) Nitter has many elisions. Do you know how to have them all expanded (see all originating posts)?
- tyzoid 3y agoOriginal link doesn't work without javascript
- mleonhard 3y agohttps://en.wikipedia.org/wiki/Landauer's_principle https://en.wikipedia.org/wiki/Landauer's_principle
- tbrownaw 3y agoWhat's that chart measuring? Energy due to gate capacitance? Power in divided by transistor count and frequency? Almost a decade and a half is quite a while for this sort of thing, has it actually started on the same trajectory?
- m3kw9 3y agoYou don’t need to worry, you let the pros(tsmc) handle it.
- discordance 3y agoI’m curious about the division of innovation between ASML and TSMC. I know TSMC does incredible r&d, process engineering, HVM etc, but wouldn’t this land in the ASML bucket?
- johncalvinyoung 3y agoIf I'm understanding correctly, the OP is claiming that our current efficiency of computation is relatively close (within 1-2 orders of magnitude) to a theoretical lower bound of how much energy is required to flip a bit (physics and information theory). i.e. making things infinitely smaller (even if we thought it possible) might not actually result in improved power efficiency per operation anymore, sometime soon. Since ASML's technology (to the layman) seems to be mostly wrapped up in making things smaller, accurately, then I can't see how this would be ASML's problem to solve, if we believe that the Landauer limit can't be broken. The onus would be on the architectural side, of finding more efficient ways of getting the higher-level results we care about, reducing the number of minimum-energy operations required to get to those results. Or maybe I'm misunderstanding something?
- ragebol 3y agoThe way I understand this matter: TSMC runs a process in which ASML is a tool, an important one, that needs to run TSMC's process reliably. Both the process and tool needs to innovate to enable each other to get the most out of both.
- aaronbrethorst 3y agoI'm sure George could solve this in a 12 week internship.
- TazeTSchnitzel 3y agoYes, he could definitely use that time to find someone else who's been working on it for a long time and steal the glory for himself, as he is known for.
- sudosysgen 3y agoHe's assuming transistors got 100x more efficient in 13 years, but they just haven't. CPUs of similar architectures got about 5x more efficient in the very best case (embarrassingly parallel workload where advances in core count and instructions level parallelism means effectively lower switching rates). For GPUs it's a similar story - a 780Ti does 5.5Tflops@250W, a 4080Ti does 66Tflops@400W, for a 7.5x increase. Certainly not 100x, and again a lot of that is from much much more efficient GPGPU architectures. TSMC themselves claim ~30-40% improvements on transistor efficiency every generation these days, which fits nicely with a 4-5x improvement. Manually multiplying their claims in efficiency, you get a 4.85x improvement from 28nm to 3nm. I think we'll be hitting the limits of what silicon can do 3-4 orders of magnitude before Landauer's limit.
- angiosperm 3y agoYour brain works remarkably close to that limit. (Maybe 3-4x?) Likewise cell nuclei.