Of course Nvidia can't just throw it's hands up and say "welp, we've hit the wall" when it has someone to blame.
It's fascinating to watch those predictions about the end of Moore's Law come true.
Of course Nvidia can't just throw it's hands up and say "welp, we've hit the wall" when it has someone to blame.
It's fascinating to watch those predictions about the end of Moore's Law come true.
There's been a lot of work on nanoelectronics. For example, some scientists recently announced at a semiconductor conference that they had found a way to bypass the diffraction limit completely, making 2nm features with a 650nm laser. Similarly, I know an engineer who worked on a massively-parallel electron-beam-based etching device, which could also be applied similarly at very small node sizes. There's a billion other technical challenges, but there's been a lot of progress in making features on the molecular level.
If anything, this is better than expected: EUV has had some serious problems over the past few years, yet its delay hasn't stopped the next few nodes.
Moore's law doesn't require that shrinkage continuing, though, as there are other technologies available. Memristors in particular may allow scaling faster than Moore's law would otherwise predict.
http://spectrum.ieee.org/semiconductors/devices/3d-chips-gro...
That comes with a very large set of engineering challenges but if those are overcome you can expect another big jump.
We don't just need to cram more transistors on a chip, we need those transistors to use proportionally less power (preferably even less than that).
Another possible solution is to use 3D chip stacking to add dedicated hardware for a wide variety of tasks, most of which is turned off when not being used.
Or something different?
http://www.eetimes.com/electronics-blogs/other/4210170/Xilin...
I wonder if the price will ever come down to the point where it's used in consumer devices.
The main reason for going small is cost - Silicon costs you per sq in - smaller transistors are supposed to buy you more hardware for the same money. If that stops there is less reason to go small.
Further, part of bringing costs down involves efficiencies of scale. If you don't have the scale, the price will limit the output. It might be back to the supercomputer world for those who need that particular extra bit of speed.
http://en.wikipedia.org/wiki/Moores_law
It has nothing to do with computing architectures.