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All those things you can easily measure in isolation, and you can also optimize for them quite locally. But these local optimizations do not produce global optimums, and the fewer of us are looking at the output, the less it matters.
Astra for Coding: Why Are We Doing This Again?lucumr.pocoo.org
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Nelson Elhage Mastodon
A while ago, @regehr was tooting about optimizing brainfuck, and I speculated that peeling off the first iteration of a loop might make the loop body easier to optimize: https://mastodon.social/@nelhage/113241955294210125 Today I learned that RPython/PyPy use a very similar idea to support loop optimizations in their trace optimizer: https://dl.acm.org/doi/epdf/10.1145/2480360.2384586 By peeling off a single loop iteration, the optimizer can "see" that the body proper is dominated by the first iteration, and specialize much harder.
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7 September
26 August
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But it's the cost of the compiler not being able to do any optimizations. That's the actual cost. And that cost can be severe.
28 July
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But great airplanes are incredibly integrated and everything affects everything else. uh the the best airplane design is interplay of propulsion, of aerodynamics, of structures, of all kinds of optimizations, how you fit the systems into it.
6 February
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I've realized that performance engineering as we know it may not be enough - I'm thinking of new engineering methods so that we can find bigger optimizations than we have before, and find them faster.
29 November 2025
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