I agree with the original ACM article more than I agree with Rob here. There is an obvious, extremely successful, counterexample to the “single threaded performance is king” meme and that’s GPUs.
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The vicious cycle of “processors optimize for popular languages” <-> “popular languages are bad at parallelism” is a real phenomenon. GPUs are evidence that if you have a model rooted in parallelism from the start then things can turn out differently.
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Also, I don’t think that there’s really any better way to implement Go at least other than shared memory. That’s because Go’s model is shared memory.
8:29 PM - 23 May 2018
from Civic Center, San Francisco
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