Hi All It occurred to me that with the many options available for jit (such as inlining, function_threshold) there may be some merit to optimising those values. I would expect that the optimised values would be workload specific however if a workload takes days to run then it would be worth optimising.
I recall an article that used genetic algorithms to select the best parameters (for gcc) that produces the fastest execution. Is there an equivalent program for pypy? Or if it is easy enough could someone put together such a (shell script) program? I, unfortunitely, have no experience with genetic algorithms nor know how to optimise the jit parameters. Regards,
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