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by einpoklum 30 days ago
Probably not, because the specifics of the workload - exact parameters, representation of data in memory, value ranges etc - lead you to highly divergent optimization strategies.
1 comments

shouldn't it be possible to be run as a mlautoresearch project? i.e. orchestrate 10 strategies to speed it up, run in paralellel, pick the winning and go from there?
No, because all the low hanging fruit that this kind of thing would find has usually been picked.
You are assuming all problems in the world are solvable by one of "10 strategies".
He is not assuming that as he includes "and go from there."