| You continue to he condescending and wrong. You urged me to look up marketing names as if they trumped reality when the relevant number was already in my comment. Those predictions initially pointed directly to the 2020-2030 range, then the goal posts were moved to keep moores law alive (it's not a doubling every 18 months, it's 2 years). They point to 2040 now. If you stick to the 18 months rule under which the predictions based on the hard physical limits were made in 2000-2008 then it has already come true. Putting ever smaller numbers in the names of process nodes where the density of functional units is barely increasing does not change this. Nehalim was noted for it's relatively large die area and low transistor count at about 2.7MTr/mm^2. core2 on 45nm was about 3.8 Zen 4 is about 93. 93/2.7 is a factor of 36, 93/3.8 is 24. 2^7 is 128, 2^9 is 512. Mobile processors are slightly better from a raw numbers POV, but already have a large portion of their area dedicated to tiled functional units like sram and gpu cores. Switching from a complex bespoke design to tiling only helps once. Even an m1 at 133MTr/mm^2 vs nehalim is only a factor of 48. These numbers are not even commensurable, because a much larger fraction of the transistors in the M1 do not do anything than in a core2 Prices per unit of die area are about stable although chiplets are needed (again) to maintain yield. This will go up with EUV and more exotic materials used to increase the dialectric constant. Clocks are stable. Performance per watt will continue to increase for a while after using architectural changes similar to some of those mentioned in TFA, but there is no getting around the second law with a classical computer. |