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test @inline for cost functions for speed improvements #90

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moustachio-belvedere opened this issue Jun 29, 2020 · 1 comment
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@moustachio-belvedere
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Adding @inline compiler hints to the Boltzmann integration functions, which in turn are called by the cost functions sent to NLOpt.jl, may give us a little speedup for little work. Will investigate over the next week or two.

@moustachio-belvedere
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Tested using non-singular, constant sample rate data, @inline gave no improvement. Julia compiler probably smart enough to optimise where appropriate anyway. Closing for now.

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