Comment by einpoklum
2 hours 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.
2 hours 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.
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?