In The Art of Doing Science and Engineering, Hamming gives this amazing sigmoidal formulation for the growth rate of computing power: e^(22(1-e^(-t/20))), with t=0 in 1943. That predicts 2.2 GHz for 2019, with is rather remarkably close to where we are.
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There's a lot of what-aboutism in the replies. Saying "but what about parallel computing / pipelining / GPUs / ASICs" etc isn't a response. Ideally, we want faster clock speeds _and_ all those things. Clock speed stagnation isn't something to brush off.
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We had a huge effort on this at DARPA. A key consideration is clock skew across the device as speeds increase. You end up with "clock domains" that shrink, large overhead in mitigating skew, and what effectively becomes a multicore architecture for fixed die size
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A famous Silicon designer once told me "all speed comes from parallelism" & power efficiency as well. Clock speed by itself can be a VERY deceptive measure. Power usage increases linearly with parallelism, but exponentially with clockrate. Speed increases linearly with both.
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That's been true for 10+ years, since clock speeds have largely saturated. It's quite certain that much of the speed increase between 1980 and 2010 came from clock speed increase (itself enabled by other things, e.g., smaller feature sizes, as I understand it).
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However instructions executed per cycle(+other optimizations) have increased, so the raw count of GHz doesn't tell the full story.
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But overall performance or perception of it - speaking as a lay person - has significantly increased? My question is whether that should be irritating you in that case. If so, why?
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Clock speeds developed a lot more after 2Ghz, it’s just the economy of scale that makes them very expensive due to the required materials ( like gold filters and PCB) to support such clock.
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Commercial Planes don’t fly faster than 550 mph either. Law of diminishing returns :) (and cooling the CPU for higher clock speeds)
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But so many cores!
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